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Quick views: Django Resume one-shot results passing runs failed runs NVIDIA Django wrap pack
Runs
| id | label | imported | rows | packs | adapters | model | endpoints | runtime | model metadata | quantization | model artifact | model revision | model sha256 | host | comparison | repo commit | operating | run.jsonl sha256 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2026-04-28-mlx-lm-runtime | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Qwen2.5 0.5B Instruct | http://localhost:8080/v1/chat/completions | — | — | — | — | — | — | Apple M5 Max (64 GB) | — | — | — | 1a75463cc086d35787b2957d0a3b3d52499ce99536dd58bedee1b115ce374cf2 |
| 2 | 2026-04-28-mlx-lm-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Qwen2.5 0.5B Instruct | http://localhost:8080/v1/chat/completions | — | — | — | — | — | — | Apple M5 Max (64 GB) | — | — | — | 868121e67c2b7a5f2a169661414c0de8bbbf4a68f0133e8c143b28a3ec311e7f |
| 3 | 2026-04-29-llama-server-runtime | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Qwen2.5 0.5B Instruct | http://127.0.0.1:8081/v1/chat/completions | — | — | — | — | — | — | Apple M5 Max (64 GB) | — | — | — | 8a23c8f3e0e2ebb1490822f4571cc18f6524870e4a2dabe57a4e5880f9a45d69 |
| 4 | 2026-04-29-llama-server-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Qwen2.5 0.5B Instruct | http://127.0.0.1:8081/v1/chat/completions | — | — | — | — | — | — | Apple M5 Max (64 GB) | — | — | — | ed795551960a1e4c88f1c6c66c163640dc923abfd5fe7a085f00d707b8ca5cd8 |
| 5 | 2026-04-30-llama-server-desktop-django-wrap | 2026-09-02T10:33:15+00:00 | 2 | desktop-django-wrap 0.1.5 | openai-chat | Qwen2.5 0.5B Instruct | http://127.0.0.1:8081/v1/chat/completions | — | — | — | — | — | — | Apple M5 Max (64 GB) | — | — | — | 2ca61c497e8ba76cb9c94369d49485cbc069db11268eeeae95951e0e571b8523 |
| 6 | 2026-05-03-m4-max-llama-qwen25-05b-190636-patch | 2026-09-02T10:33:15+00:00 | 1 | patch-from-failure 0.1.0 | openai-chat | Qwen2.5 0.5B Instruct | http://127.0.0.1:8081/v1/chat/completions | — | — | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | bfff2514d5534c33dc494f5fed80b4599e4c78169c6178dfd230ead9023a59e5 |
| 7 | 2026-05-03-m4-max-llama-qwen25-05b-190636-runtime | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Qwen2.5 0.5B Instruct | http://127.0.0.1:8081/v1/chat/completions | — | — | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | bee931cf81a26acac8440288568153dbc7d1a69ca8dcc5aa3849af31ea3793cf |
| 8 | 2026-05-03-m4-max-llama-qwen25-05b-190636-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Qwen2.5 0.5B Instruct | http://127.0.0.1:8081/v1/chat/completions | — | — | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | 542511f03d4cc6a2373fc868d19a7563d281e8d006ab63dcc217ad3cf8e4a262 |
| 9 | 2026-05-03-m4-max-llama-qwen25-05b-190636-wrap | 2026-09-02T10:33:15+00:00 | 2 | desktop-django-wrap 0.1.5 | openai-chat | Qwen2.5 0.5B Instruct | http://127.0.0.1:8081/v1/chat/completions | — | — | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | 98dee1608317ea389a6c0e315bb330f56a934debbd08d150d9f0a2b77f65f8c6 |
| 10 | 2026-05-03-m4-max-mlx-qwen25-05b-185824-patch | 2026-09-02T10:33:15+00:00 | 1 | patch-from-failure 0.1.0 | openai-chat | Qwen2.5 0.5B Instruct | http://127.0.0.1:8080/v1/chat/completions | — | — | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | 1e6e1caa89e527865c7b40913edf91063549b36794d143dd537d285ed778c213 |
| 11 | 2026-05-03-m4-max-mlx-qwen25-05b-185824-runtime | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Qwen2.5 0.5B Instruct | http://127.0.0.1:8080/v1/chat/completions | — | — | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | d7c1489b282bd86892cbb20b721949ed691eb59e887e944275215ae5d827a7a6 |
| 12 | 2026-05-03-m4-max-mlx-qwen25-05b-185824-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Qwen2.5 0.5B Instruct | http://127.0.0.1:8080/v1/chat/completions | — | — | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | 5ebcf409eb4c686cc31939567cac3b43591693e119929920fca3f36ff3407e2b |
| 13 | 2026-05-03-m4-max-mlx-qwen25-05b-185824-wrap | 2026-09-02T10:33:15+00:00 | 2 | desktop-django-wrap 0.1.5 | openai-chat | Qwen2.5 0.5B Instruct | http://127.0.0.1:8080/v1/chat/completions | — | — | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | 5cf5c75cc27f057f549c7e5b8b8acebecf7465d5855b02651b4750ba06491d15 |
| 14 | 2026-05-03-m4-max-qwen3coder-184938-patch | 2026-09-02T10:33:15+00:00 | 1 | patch-from-failure 0.1.0 | ollama-generate | Qwen3 Coder 30B-A3B | http://localhost:11434/api/generate | — | — | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | b6dec7420aab1c0accf65e1950225811d223c246aaaf831ecb61ec1acb74225e |
| 15 | 2026-05-03-m4-max-qwen3coder-184938-runtime | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | ollama-generate | Qwen3 Coder 30B-A3B | http://localhost:11434/api/generate | — | — | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | 27865294ce16ff9ea1975f48e2c51daee97faafe86eeac3293e81df0fbdcbdde |
| 16 | 2026-05-03-m4-max-qwen3coder-184938-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | ollama-generate | Qwen3 Coder 30B-A3B | http://localhost:11434/api/generate | — | — | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | 3e5d2b25b70c8d63877781195bfc8941ed12dcd0d255ac465414955f822a061d |
| 17 | 2026-05-03-m4-max-qwen3coder-184938-wrap | 2026-09-02T10:33:15+00:00 | 2 | desktop-django-wrap 0.1.5 | ollama-generate | Qwen3 Coder 30B-A3B | http://localhost:11434/api/generate | — | — | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | bd9728b4bba8ad01eb74f1c2f2183b5d31f57ea89f564b7935619744687f0d15 |
| 18 | 2026-05-05-m4-qwen36-dense-llamacpp-154321-patch | 2026-09-02T10:33:15+00:00 | 1 | patch-from-failure 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:8083/v1/chat/completions | llama-server; 9020 (a4701c98f) | qwen36-27b-q4km | Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | 2bdacdc23b40e2c9db1d649c4169b247992362c0b667de7f95f191ec4dfd63f4 |
| 19 | 2026-05-05-m4-qwen36-dense-llamacpp-154321-runtime | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:8083/v1/chat/completions | llama-server; 9020 (a4701c98f) | qwen36-27b-q4km | Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | 53b99d66b44236a2dba662de7513afac4bdd6cd89c7218a3d70864d7bac90383 |
| 20 | 2026-05-05-m4-qwen36-dense-llamacpp-154321-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:8083/v1/chat/completions | llama-server; 9020 (a4701c98f) | qwen36-27b-q4km | Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | e4397caed9ab98638e4e01b140c9e17116fbe64705720d2925ee0d964dc7422d |
| 21 | 2026-05-05-m4-qwen36-dense-llamacpp-154321-wrap | 2026-09-02T10:33:15+00:00 | 2 | desktop-django-wrap 0.1.5 | openai-chat | Qwen3.6 27B | http://127.0.0.1:8083/v1/chat/completions | llama-server; 9020 (a4701c98f) | qwen36-27b-q4km | Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | 14cfe8d6f64f2cab901d5e4e859f050b00f97e8450f9b68f34e803277631ec2c |
| 22 | 2026-05-05-m4-qwen36-dense-llamacpp-smoke-154255 | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:8083/v1/chat/completions | llama-server; 9020 (a4701c98f) | qwen36-27b-q4km | Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | 50bd4db36ab7d5cf84bc811ffd796979907902c86b9e21249355ad19d4edc18c |
| 23 | 2026-05-05-m4-qwen36-dense-mlx-155943-patch | 2026-09-02T10:33:15+00:00 | 1 | patch-from-failure 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:8085/v1/chat/completions | mlx-lm server; 0.31.3 | /Users/jochen/models/mlx/Qwen3.6-27B-4bit | 4bit | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | 54d59baf80e90c374eb8a369864c3b0264eb085e87df6267a89a54b95c1b148e |
| 24 | 2026-05-05-m4-qwen36-dense-mlx-155943-runtime | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:8085/v1/chat/completions | mlx-lm server; 0.31.3 | /Users/jochen/models/mlx/Qwen3.6-27B-4bit | 4bit | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | aa0602642dbf3fd0829e61be616eadd3faa29f40c5147932849582609378ab6d |
| 25 | 2026-05-05-m4-qwen36-dense-mlx-155943-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:8085/v1/chat/completions | mlx-lm server; 0.31.3 | /Users/jochen/models/mlx/Qwen3.6-27B-4bit | 4bit | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | 9ffbeb873f7441f0c8ad0e7033cb1bc749918a9b2af3b788256480126358c60e |
| 26 | 2026-05-05-m4-qwen36-dense-mlx-155943-wrap | 2026-09-02T10:33:15+00:00 | 2 | desktop-django-wrap 0.1.5 | openai-chat | Qwen3.6 27B | http://127.0.0.1:8085/v1/chat/completions | mlx-lm server; 0.31.3 | /Users/jochen/models/mlx/Qwen3.6-27B-4bit | 4bit | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | b3c8b5da25d632e4a30896286548a26bf84de7fd93fc709fc68b2d8997f3ce0c |
| 27 | 2026-05-05-m4-qwen36-dense-mlx-smoke-155916 | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:8085/v1/chat/completions | mlx-lm server; 0.31.3 | /Users/jochen/models/mlx/Qwen3.6-27B-4bit | 4bit | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | 6c2ce10ddec0d2460fa60a76baf45765a96bca5d29e9f67b8aa141e8d30bc5cd |
| 28 | 2026-05-05-m4-qwen36-dense-ollama-155051-patch | 2026-09-02T10:33:15+00:00 | 1 | patch-from-failure 0.1.0 | ollama-generate | Qwen3.6 27B | http://localhost:11434/api/generate | ollama; server 0.20.5; client 0.23.0 | qwen36-27b-gguf:q4km | Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | 90ad79e13be51f0a006fe3640081adfc77b2a40e5f5856754aceb0d0a24fd724 |
| 29 | 2026-05-05-m4-qwen36-dense-ollama-155051-runtime | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | ollama-generate | Qwen3.6 27B | http://localhost:11434/api/generate | ollama; server 0.20.5; client 0.23.0 | qwen36-27b-gguf:q4km | Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | 026b15e71216fc30839332bd3830d60b02a7d7b73840d8a869ecfb8e128c4895 |
| 30 | 2026-05-05-m4-qwen36-dense-ollama-155051-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | ollama-generate | Qwen3.6 27B | http://localhost:11434/api/generate | ollama; server 0.20.5; client 0.23.0 | qwen36-27b-gguf:q4km | Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | 91e4cf517ae21103651c30c72bd6269a46c66a391910075e523aa11dbd04b6f0 |
| 31 | 2026-05-05-m4-qwen36-dense-ollama-155051-wrap | 2026-09-02T10:33:15+00:00 | 2 | desktop-django-wrap 0.1.5 | ollama-generate | Qwen3.6 27B | http://localhost:11434/api/generate | ollama; server 0.20.5; client 0.23.0 | qwen36-27b-gguf:q4km | Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | 80e8f160825ccab575109815fb17a2c1b3099192514b862b0ef4ed739f2d70d7 |
| 32 | 2026-05-05-m4-qwen36-dense-ollama-smoke-154808 | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | ollama-generate | Qwen3.6 27B | http://localhost:11434/api/generate | ollama; server 0.20.5; client 0.23.0 | qwen36-27b-gguf:q4km | Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | 49e90ace6ec080cebe40afc29f9fe6234503a44c73f4c72d759e76bbcca85890 |
| 33 | 2026-05-05-m4-qwen36-moe-llamacpp-153657-patch | 2026-09-02T10:33:15+00:00 | 1 | patch-from-failure 0.1.0 | openai-chat | Qwen3.6 35B-A3B | http://127.0.0.1:8081/v1/chat/completions | llama-server; 9020 (a4701c98f) | qwen36-35b-a3b-q4km | UD-Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | 7211cd7b8b961809e21be8aa2fd0f0795b60b5fdc4ca311b25a5d050ef15b919 |
| 34 | 2026-05-05-m4-qwen36-moe-llamacpp-153657-runtime | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Qwen3.6 35B-A3B | http://127.0.0.1:8081/v1/chat/completions | llama-server; 9020 (a4701c98f) | qwen36-35b-a3b-q4km | UD-Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | df24db7e293761efa0727c27243691cefcdf9302c72ceec5a928f7410fe4338e |
| 35 | 2026-05-05-m4-qwen36-moe-llamacpp-153657-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Qwen3.6 35B-A3B | http://127.0.0.1:8081/v1/chat/completions | llama-server; 9020 (a4701c98f) | qwen36-35b-a3b-q4km | UD-Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | 580935de10ef745e30bd192e688bc6b17ad4c8019e8ae8f844cc4160e437aa04 |
| 36 | 2026-05-05-m4-qwen36-moe-llamacpp-153657-wrap | 2026-09-02T10:33:15+00:00 | 2 | desktop-django-wrap 0.1.5 | openai-chat | Qwen3.6 35B-A3B | http://127.0.0.1:8081/v1/chat/completions | llama-server; 9020 (a4701c98f) | qwen36-35b-a3b-q4km | UD-Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | 9236044cfc59cd87955da876a9f566f4e9bdd2e6b88959bd61de402e3c4af626 |
| 37 | 2026-05-05-m4-qwen36-moe-llamacpp-reasonoff-smoke-153634 | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Qwen3.6 35B-A3B | http://127.0.0.1:8081/v1/chat/completions | llama-server; 9020 (a4701c98f) | qwen36-35b-a3b-q4km | UD-Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | 68d40ce43d482210491dfdc3c2eb3c85c4d19f1bc248e44a543c5f5593bec5cf |
| 38 | 2026-05-05-m4-qwen36-moe-llamacpp-smoke-153159 | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Qwen3.6 35B-A3B | http://127.0.0.1:8081/v1/chat/completions | llama-server; 9020 (a4701c98f) | qwen36-35b-a3b-q4km | UD-Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | 8bff4f37e6ba08d69594af9718d6f29c5b4b492a29b33fb0dacf79f0457e5d28 |
| 39 | 2026-05-05-m4-qwen36-moe-mlx-155645-patch | 2026-09-02T10:33:15+00:00 | 1 | patch-from-failure 0.1.0 | openai-chat | Qwen3.6 35B-A3B | http://127.0.0.1:8084/v1/chat/completions | mlx-lm server; 0.31.3 | /Users/jochen/models/mlx/Qwen3.6-35B-A3B-MLX-MXFP4 | MXFP4 | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | bed80bfd65eeba7726c474d9b13531c9bed9185d00e421f2f7390dd67da257b0 |
| 40 | 2026-05-05-m4-qwen36-moe-mlx-155645-runtime | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Qwen3.6 35B-A3B | http://127.0.0.1:8084/v1/chat/completions | mlx-lm server; 0.31.3 | /Users/jochen/models/mlx/Qwen3.6-35B-A3B-MLX-MXFP4 | MXFP4 | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | f0506fad86fc7d9110b41f1f0b76609fa5f9b513ff5f221fa68e126c85ae5ab7 |
| 41 | 2026-05-05-m4-qwen36-moe-mlx-155645-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Qwen3.6 35B-A3B | http://127.0.0.1:8084/v1/chat/completions | mlx-lm server; 0.31.3 | /Users/jochen/models/mlx/Qwen3.6-35B-A3B-MLX-MXFP4 | MXFP4 | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | d07c1c550bd141c596e7dd189cc672c935bf928daacbf2e66e9bdba3ab093cae |
| 42 | 2026-05-05-m4-qwen36-moe-mlx-155645-wrap | 2026-09-02T10:33:15+00:00 | 2 | desktop-django-wrap 0.1.5 | openai-chat | Qwen3.6 35B-A3B | http://127.0.0.1:8084/v1/chat/completions | mlx-lm server; 0.31.3 | /Users/jochen/models/mlx/Qwen3.6-35B-A3B-MLX-MXFP4 | MXFP4 | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | 89e7fe52de3d91a6ab0a61320f5f0ea7ac3a71683fe2c41b7a040b15d99d81b9 |
| 43 | 2026-05-05-m4-qwen36-moe-mlx-smoke-155619 | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Qwen3.6 35B-A3B | http://127.0.0.1:8084/v1/chat/completions | mlx-lm server; 0.31.3 | /Users/jochen/models/mlx/Qwen3.6-35B-A3B-MLX-MXFP4 | MXFP4 | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | 2aa0eba95785bc47b2fa875e2f4bdb793df4f7e96408d0bf905ad01109b25142 |
| 44 | 2026-05-05-m4-qwen36-moe-ollama-154846-patch | 2026-09-02T10:33:15+00:00 | 1 | patch-from-failure 0.1.0 | ollama-generate | Qwen3.6 35B-A3B | http://localhost:11434/api/generate | ollama; server 0.20.5; client 0.23.0 | qwen36-35b-a3b-gguf:q4km | UD-Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | d3e86295d7d842b4c96d8e627af3bce80fdf4cf4ee2f4fb101cffdf0e42621cd |
| 45 | 2026-05-05-m4-qwen36-moe-ollama-154846-runtime | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | ollama-generate | Qwen3.6 35B-A3B | http://localhost:11434/api/generate | ollama; server 0.20.5; client 0.23.0 | qwen36-35b-a3b-gguf:q4km | UD-Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | 743de0b33cd443a29be1d771425a15f60370c7622af2e504cc2d89415115f787 |
| 46 | 2026-05-05-m4-qwen36-moe-ollama-154846-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | ollama-generate | Qwen3.6 35B-A3B | http://localhost:11434/api/generate | ollama; server 0.20.5; client 0.23.0 | qwen36-35b-a3b-gguf:q4km | UD-Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | 328b12888209d930071aa141c5c4c24c3842ca987a6bef4ad41e3b3d2fce15cf |
| 47 | 2026-05-05-m4-qwen36-moe-ollama-154846-wrap | 2026-09-02T10:33:15+00:00 | 2 | desktop-django-wrap 0.1.5 | ollama-generate | Qwen3.6 35B-A3B | http://localhost:11434/api/generate | ollama; server 0.20.5; client 0.23.0 | qwen36-35b-a3b-gguf:q4km | UD-Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | fad0ff56345ef618f6af7e9d51f11491feb09f31571ec55f04c32d34de82b560 |
| 48 | 2026-05-05-m4-qwen36-moe-ollama-smoke-154747 | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | ollama-generate | Qwen3.6 35B-A3B | http://localhost:11434/api/generate | ollama; server 0.20.5; client 0.23.0 | qwen36-35b-a3b-gguf:q4km | UD-Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | not captured; not captured; not intentionally controlled | fac9f37161c20ba207a1735689d363494e2e076a4d8a12d8cccede2159e2c3c8 |
| 49 | 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1058-patch | 2026-09-02T10:33:15+00:00 | 1 | patch-from-failure 0.1.0 | openai-chat | Gemma 4 E2B | http://127.0.0.1:8081/v1/chat/completions | llama-server; version: 9030 (a09a00e50); built with AppleClang 21.0.0.21000099 for Darwin arm64; http://127.0.0.1:8081/v1 | google/gemma-4-E2B-it | Q4_K_M | bartowski/google_gemma-4-E2B-it-GGUF; google_gemma-4-E2B-it-Q4_K_M.gguf | b5e99bd964eaacc27ba484bb2eb3e9f6160b9143 | b5310340b3a23d31655d7119d100d5df1b2d8ee17b3ca8b0a23ad7e9eb5fa705 | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | a82fb3f | not captured; not captured; no intentional benchmark load; existing host background state not otherwise controlled | 2b036d49a5e9d6a4803bfed19bfa2177ebd1c161b7703c719870f93f3d511c8b |
| 50 | 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1058-runtime | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Gemma 4 E2B | http://127.0.0.1:8081/v1/chat/completions | llama-server; version: 9030 (a09a00e50); built with AppleClang 21.0.0.21000099 for Darwin arm64; http://127.0.0.1:8081/v1 | google/gemma-4-E2B-it | Q4_K_M | bartowski/google_gemma-4-E2B-it-GGUF; google_gemma-4-E2B-it-Q4_K_M.gguf | b5e99bd964eaacc27ba484bb2eb3e9f6160b9143 | b5310340b3a23d31655d7119d100d5df1b2d8ee17b3ca8b0a23ad7e9eb5fa705 | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | a82fb3f | not captured; not captured; no intentional benchmark load; existing host background state not otherwise controlled | 9a7a841b225dcc6730182be72572aebf9f0efe1e9869636954696889c999efaa |
| 51 | 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1058-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Gemma 4 E2B | http://127.0.0.1:8081/v1/chat/completions | llama-server; version: 9030 (a09a00e50); built with AppleClang 21.0.0.21000099 for Darwin arm64; http://127.0.0.1:8081/v1 | google/gemma-4-E2B-it | Q4_K_M | bartowski/google_gemma-4-E2B-it-GGUF; google_gemma-4-E2B-it-Q4_K_M.gguf | b5e99bd964eaacc27ba484bb2eb3e9f6160b9143 | b5310340b3a23d31655d7119d100d5df1b2d8ee17b3ca8b0a23ad7e9eb5fa705 | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | a82fb3f | not captured; not captured; no intentional benchmark load; existing host background state not otherwise controlled | cab70fecc1304a84cf8ef614fe58df90df7609cf4f38e68bb1a70c6e4b28ee22 |
| 52 | 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1058-wrap | 2026-09-02T10:33:15+00:00 | 2 | desktop-django-wrap 0.1.5 | openai-chat | Gemma 4 E2B | http://127.0.0.1:8081/v1/chat/completions | llama-server; version: 9030 (a09a00e50); built with AppleClang 21.0.0.21000099 for Darwin arm64; http://127.0.0.1:8081/v1 | google/gemma-4-E2B-it | Q4_K_M | bartowski/google_gemma-4-E2B-it-GGUF; google_gemma-4-E2B-it-Q4_K_M.gguf | b5e99bd964eaacc27ba484bb2eb3e9f6160b9143 | b5310340b3a23d31655d7119d100d5df1b2d8ee17b3ca8b0a23ad7e9eb5fa705 | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | a82fb3f | not captured; not captured; no intentional benchmark load; existing host background state not otherwise controlled | 727e46e9f5053eedb541ef2140b12db9622bb19c702f3b1120ef9535ef291516 |
| 53 | 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1116-patch | 2026-09-02T10:33:15+00:00 | 1 | patch-from-failure 0.1.0 | openai-chat | Gemma 4 E2B | http://127.0.0.1:8081/v1/chat/completions | llama-server; version: 9030 (a09a00e50); built with AppleClang 21.0.0.21000099 for Darwin arm64; http://127.0.0.1:8081/v1 | google/gemma-4-E2B-it | Q4_K_M | bartowski/google_gemma-4-E2B-it-GGUF; google_gemma-4-E2B-it-Q4_K_M.gguf | b5e99bd964eaacc27ba484bb2eb3e9f6160b9143 | b5310340b3a23d31655d7119d100d5df1b2d8ee17b3ca8b0a23ad7e9eb5fa705 | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | 2acd1b3 | not captured; not captured; no intentional benchmark load; existing host background state not otherwise controlled | de3de00b332e27ae95daeea0e58aa39fc9f3f9e00b2f5a1768517baac4bb7f7a |
| 54 | 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1116-runtime | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Gemma 4 E2B | http://127.0.0.1:8081/v1/chat/completions | llama-server; version: 9030 (a09a00e50); built with AppleClang 21.0.0.21000099 for Darwin arm64; http://127.0.0.1:8081/v1 | google/gemma-4-E2B-it | Q4_K_M | bartowski/google_gemma-4-E2B-it-GGUF; google_gemma-4-E2B-it-Q4_K_M.gguf | b5e99bd964eaacc27ba484bb2eb3e9f6160b9143 | b5310340b3a23d31655d7119d100d5df1b2d8ee17b3ca8b0a23ad7e9eb5fa705 | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | 2acd1b3 | not captured; not captured; no intentional benchmark load; existing host background state not otherwise controlled | 4d0dff2fa49c393a80cb44dcf25b7128158d1117eccffa26e81380639dee0e46 |
| 55 | 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1116-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Gemma 4 E2B | http://127.0.0.1:8081/v1/chat/completions | llama-server; version: 9030 (a09a00e50); built with AppleClang 21.0.0.21000099 for Darwin arm64; http://127.0.0.1:8081/v1 | google/gemma-4-E2B-it | Q4_K_M | bartowski/google_gemma-4-E2B-it-GGUF; google_gemma-4-E2B-it-Q4_K_M.gguf | b5e99bd964eaacc27ba484bb2eb3e9f6160b9143 | b5310340b3a23d31655d7119d100d5df1b2d8ee17b3ca8b0a23ad7e9eb5fa705 | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | 2acd1b3 | not captured; not captured; no intentional benchmark load; existing host background state not otherwise controlled | 22433417300a34eac6de9e7e1dd0c71765898db2ebf465591308de1c6735cb7f |
| 56 | 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1116-wrap | 2026-09-02T10:33:15+00:00 | 2 | desktop-django-wrap 0.1.5 | openai-chat | Gemma 4 E2B | http://127.0.0.1:8081/v1/chat/completions | llama-server; version: 9030 (a09a00e50); built with AppleClang 21.0.0.21000099 for Darwin arm64; http://127.0.0.1:8081/v1 | google/gemma-4-E2B-it | Q4_K_M | bartowski/google_gemma-4-E2B-it-GGUF; google_gemma-4-E2B-it-Q4_K_M.gguf | b5e99bd964eaacc27ba484bb2eb3e9f6160b9143 | b5310340b3a23d31655d7119d100d5df1b2d8ee17b3ca8b0a23ad7e9eb5fa705 | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | 2acd1b3 | not captured; not captured; no intentional benchmark load; existing host background state not otherwise controlled | 9eaaf591d1b198c2db991ad03faa619418428270bfdfbd36c0f72f11eeec5fd6 |
| 57 | 2026-05-07-m4-max-gemma4-llama-reasoning-off-runtime-20260507-103928 | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Gemma 4 E2B | http://127.0.0.1:8081/v1/chat/completions | llama-server; version: 9030 (a09a00e50); built with AppleClang 21.0.0.21000099 for Darwin arm64; http://127.0.0.1:8081/v1 | google/gemma-4-E2B-it | Q4_K_M | bartowski/google_gemma-4-E2B-it-GGUF; google_gemma-4-E2B-it-Q4_K_M.gguf | b5e99bd964eaacc27ba484bb2eb3e9f6160b9143 | b5310340b3a23d31655d7119d100d5df1b2d8ee17b3ca8b0a23ad7e9eb5fa705 | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | a82fb3f | not captured; not captured; no intentional benchmark load; existing host background state not otherwise controlled | 66ded72dd97702092ce901aa22b1c622174b3cd0cf85d2d10674a0a977ae1306 |
| 58 | 2026-05-07-m4-max-gemma4-llama-reasoning-off-smoke-20260507-103856 | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Gemma 4 E2B | http://127.0.0.1:8081/v1/chat/completions | llama-server; version: 9030 (a09a00e50); built with AppleClang 21.0.0.21000099 for Darwin arm64; http://127.0.0.1:8081/v1 | google/gemma-4-E2B-it | Q4_K_M | bartowski/google_gemma-4-E2B-it-GGUF; google_gemma-4-E2B-it-Q4_K_M.gguf | b5e99bd964eaacc27ba484bb2eb3e9f6160b9143 | b5310340b3a23d31655d7119d100d5df1b2d8ee17b3ca8b0a23ad7e9eb5fa705 | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | a82fb3f | not captured; not captured; no intentional benchmark load; existing host background state not otherwise controlled | 2b2ccf37b7568ff154e1935ffc11e1dfa310e7bfbc7f4a6eed09ead04f47c94c |
| 59 | 2026-05-09-m4-max-codex-oss-direct-edit-20260509-162514-dashboard-regression-external-agent | 2026-09-02T10:33:15+00:00 | 1 | django-dashboard-regression-fix-external-agent 0.1.1 | ollama-generate | Qwen3 Coder 30B-A3B | http://localhost:11434/api/generate | — | — | Q4_K_M | — | — | — | Apple M4 Max (128 GB) | exploratory-direct-edit-external-agent | 86d3194 docs: record endpoint correctness v020 validation | not intentionally controlled; not intentionally controlled; no intentional benchmark load besides local Ollama/Codex workflow | 83cd20917322de9ee3db923f2cb9f38038970b55a77995dacd646a2c668071a5 |
| 60 | 2026-05-09-m4-max-codex-oss-direct-edit-20260509-162514-patch-external-agent | 2026-09-02T10:33:15+00:00 | 1 | patch-from-failure-external-agent 0.1.1 | ollama-generate | Qwen3 Coder 30B-A3B | http://localhost:11434/api/generate | — | — | Q4_K_M | — | — | — | Apple M4 Max (128 GB) | exploratory-direct-edit-external-agent | 86d3194 docs: record endpoint correctness v020 validation | not intentionally controlled; not intentionally controlled; no intentional benchmark load besides local Ollama/Codex workflow | d0244bd1751bfc077a48a2a00165d05364cad35809fa76a6a888354bb6eb147b |
| 61 | 2026-05-09-m4-max-codex-oss-direct-edit-20260509-162514-python-regression-external-agent | 2026-09-02T10:33:15+00:00 | 1 | python-regression-fix-external-agent 0.1.1 | ollama-generate | Qwen3 Coder 30B-A3B | http://localhost:11434/api/generate | — | — | Q4_K_M | — | — | — | Apple M4 Max (128 GB) | exploratory-direct-edit-external-agent | 86d3194 docs: record endpoint correctness v020 validation | not intentionally controlled; not intentionally controlled; no intentional benchmark load besides local Ollama/Codex workflow | 1310606d40d1045fccc217584d90d4ba214e5c11bb486c52c62db8381f9718e5 |
| 62 | 2026-05-09-m4-max-qwen36-27b-llamacpp-strict-preflight-20260509-220411-endpoint-correctness | 2026-09-02T10:33:15+00:00 | 1 | endpoint-python-correctness 0.2.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:18082/v1/chat/completions | llama-server; 9080 (9f5f0e689), AppleClang 21.0.0.21000099, Darwin arm64; http://127.0.0.1:18082/v1 | Qwen/Qwen3.6-27B | Q4_K_M | unsloth/Qwen3.6-27B-GGUF; Qwen3.6-27B-Q4_K_M.gguf | — | 5ed60d0af4650a854b1755bd392f9aef4872643dc25a254bc68043fa638392a0 | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | 38f2017 | not explicitly controlled; not explicitly captured; no intentional benchmark load besides llama-server and benchpack | 11e6273fd238f4982423c68573a2055bcf368ad41658b0da763637c722d907f6 |
| 63 | 2026-05-09-m4-max-qwen36-27b-llamacpp-strict-preflight-20260509-220411-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:18082/v1/chat/completions | llama-server; 9080 (9f5f0e689), AppleClang 21.0.0.21000099, Darwin arm64; http://127.0.0.1:18082/v1 | Qwen/Qwen3.6-27B | Q4_K_M | unsloth/Qwen3.6-27B-GGUF; Qwen3.6-27B-Q4_K_M.gguf | — | 5ed60d0af4650a854b1755bd392f9aef4872643dc25a254bc68043fa638392a0 | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | 38f2017 | not explicitly controlled; not explicitly captured; no intentional benchmark load besides llama-server and benchpack | d608b1a3fec1ba5261f492b9cf076c75a24f07cf427579cc42a4278c429e248e |
| 64 | 2026-05-10-m4-max-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-patch | 2026-09-02T10:33:15+00:00 | 1 | patch-from-failure 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:18082/v1/chat/completions | llama-server; 9080 (9f5f0e689), AppleClang 21.0.0.21000099, Darwin arm64; http://127.0.0.1:18082/v1 | Qwen/Qwen3.6-27B | Q4_K_M | unsloth/Qwen3.6-27B-GGUF; Qwen3.6-27B-Q4_K_M.gguf | — | 5ed60d0af4650a854b1755bd392f9aef4872643dc25a254bc68043fa638392a0 | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | 38f2017 | not explicitly controlled; not explicitly captured; no intentional benchmark load besides llama-server and benchpack | 092881ce190eb716e92c967580bda824df322e9f896f9b5b5b838cf5f0ef16d6 |
| 65 | 2026-05-10-m4-max-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-runtime | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:18082/v1/chat/completions | llama-server; 9080 (9f5f0e689), AppleClang 21.0.0.21000099, Darwin arm64; http://127.0.0.1:18082/v1 | Qwen/Qwen3.6-27B | Q4_K_M | unsloth/Qwen3.6-27B-GGUF; Qwen3.6-27B-Q4_K_M.gguf | — | 5ed60d0af4650a854b1755bd392f9aef4872643dc25a254bc68043fa638392a0 | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | 38f2017 | not explicitly controlled; not explicitly captured; no intentional benchmark load besides llama-server and benchpack | 236c343a41303208679df25b6be2db309312652757fb15a05633ba7e74364812 |
| 66 | 2026-05-10-m4-max-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:18082/v1/chat/completions | llama-server; 9080 (9f5f0e689), AppleClang 21.0.0.21000099, Darwin arm64; http://127.0.0.1:18082/v1 | Qwen/Qwen3.6-27B | Q4_K_M | unsloth/Qwen3.6-27B-GGUF; Qwen3.6-27B-Q4_K_M.gguf | — | 5ed60d0af4650a854b1755bd392f9aef4872643dc25a254bc68043fa638392a0 | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | 38f2017 | not explicitly controlled; not explicitly captured; no intentional benchmark load besides llama-server and benchpack | 3d80ccdf204feffd68b94f25dd97a448cd9abf26ad8905f052fd087ec3745a61 |
| 67 | 2026-05-10-m4-max-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-wrap | 2026-09-02T10:33:15+00:00 | 2 | desktop-django-wrap 0.1.5 | openai-chat | Qwen3.6 27B | http://127.0.0.1:18082/v1/chat/completions | llama-server; 9080 (9f5f0e689), AppleClang 21.0.0.21000099, Darwin arm64; http://127.0.0.1:18082/v1 | Qwen/Qwen3.6-27B | Q4_K_M | unsloth/Qwen3.6-27B-GGUF; Qwen3.6-27B-Q4_K_M.gguf | — | 5ed60d0af4650a854b1755bd392f9aef4872643dc25a254bc68043fa638392a0 | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | 38f2017 | not explicitly controlled; not explicitly captured; no intentional benchmark load besides llama-server and benchpack | 56dab960eb9565548bae5eaaec775f8ca1c1946e39ce970a2230116ae8efd88e |
| 68 | 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-patch | 2026-09-02T10:33:15+00:00 | 1 | patch-from-failure 0.1.0 | openai-chat | Gemma 4 26B-A4B | http://127.0.0.1:18083/v1/chat/completions | llama-server; 9110 (ef22b3e4a); http://127.0.0.1:18083/v1 | — | Q4_K_M | ggml-org/gemma-4-26B-A4B-it-GGUF; gemma-4-26B-A4B-it-Q4_K_M.gguf | — | 88f4a13b0bb95f031a7fad973e10854122fb67ebc34d214d39a2f65053046abc | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | — | — | d8cd7376ad41d0eb369f6d8edbbca0bc27f1df61ed5769d153820b5b3471bd3d |
| 69 | 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-runtime | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Gemma 4 26B-A4B | http://127.0.0.1:18083/v1/chat/completions | llama-server; 9110 (ef22b3e4a); http://127.0.0.1:18083/v1 | — | Q4_K_M | ggml-org/gemma-4-26B-A4B-it-GGUF; gemma-4-26B-A4B-it-Q4_K_M.gguf | — | 88f4a13b0bb95f031a7fad973e10854122fb67ebc34d214d39a2f65053046abc | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | — | — | b9efa76bb23233a37bc2cc977fea86af373e35532834c464c799635174c1680e |
| 70 | 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Gemma 4 26B-A4B | http://127.0.0.1:18083/v1/chat/completions | llama-server; 9110 (ef22b3e4a); http://127.0.0.1:18083/v1 | — | Q4_K_M | ggml-org/gemma-4-26B-A4B-it-GGUF; gemma-4-26B-A4B-it-Q4_K_M.gguf | — | 88f4a13b0bb95f031a7fad973e10854122fb67ebc34d214d39a2f65053046abc | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | — | — | d888d85a7c9df68378e267eabaafef3ffabd25bdac9dd38b0c1fa7b19f8ee781 |
| 71 | 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-wrap | 2026-09-02T10:33:15+00:00 | 2 | desktop-django-wrap 0.1.5 | openai-chat | Gemma 4 26B-A4B | http://127.0.0.1:18083/v1/chat/completions | llama-server; 9110 (ef22b3e4a); http://127.0.0.1:18083/v1 | — | Q4_K_M | ggml-org/gemma-4-26B-A4B-it-GGUF; gemma-4-26B-A4B-it-Q4_K_M.gguf | — | 88f4a13b0bb95f031a7fad973e10854122fb67ebc34d214d39a2f65053046abc | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | — | — | 25f76672c7e40e4c2f86629f3754e0bbd8cd1cc7469c5885f46f557d0ef3c761 |
| 72 | 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-endpoint-correctness | 2026-09-02T10:33:15+00:00 | 1 | endpoint-python-correctness 0.2.0 | openai-chat | Gemma 4 26B-A4B | http://127.0.0.1:18083/v1/chat/completions | llama-server; 9110 (ef22b3e4a); http://127.0.0.1:18083/v1 | — | Q4_K_M | ggml-org/gemma-4-26B-A4B-it-GGUF; gemma-4-26B-A4B-it-Q4_K_M.gguf | — | 88f4a13b0bb95f031a7fad973e10854122fb67ebc34d214d39a2f65053046abc | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | — | — | cf6953b31b421101e5649378914471a8b097e563e97e31f03f52fa00f7f58a69 |
| 73 | 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-runtime | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Gemma 4 26B-A4B | http://127.0.0.1:18083/v1/chat/completions | llama-server; 9110 (ef22b3e4a); http://127.0.0.1:18083/v1 | — | Q4_K_M | ggml-org/gemma-4-26B-A4B-it-GGUF; gemma-4-26B-A4B-it-Q4_K_M.gguf | — | 88f4a13b0bb95f031a7fad973e10854122fb67ebc34d214d39a2f65053046abc | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | — | — | 6e838b3042e170c907296380debf890d568eeec5296e31a0ff4a8a04e03c13f1 |
| 74 | 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Gemma 4 26B-A4B | http://127.0.0.1:18083/v1/chat/completions | llama-server; 9110 (ef22b3e4a); http://127.0.0.1:18083/v1 | — | Q4_K_M | ggml-org/gemma-4-26B-A4B-it-GGUF; gemma-4-26B-A4B-it-Q4_K_M.gguf | — | 88f4a13b0bb95f031a7fad973e10854122fb67ebc34d214d39a2f65053046abc | Apple M4 Max (128 GB) | strict-same-gguf-llama-server | — | — | 15e0c9bf6abc70f6314988f77c0e949decc39c027becf981bb397f69af1cee8d |
| 75 | 2026-05-07-hetzner-gex44-gemma4-llama-strict-gguf-20260507-154814-runtime | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Gemma 4 E2B | http://127.0.0.1:18011/v1/chat/completions | llama-server; 9030 (a09a00e50); http://127.0.0.1:18011/v1 | google/gemma-4-E2B-it | Q4_K_M | bartowski/google_gemma-4-E2B-it-GGUF; google_gemma-4-E2B-it-Q4_K_M.gguf | b5e99bd964eaacc27ba484bb2eb3e9f6160b9143 | b5310340b3a23d31655d7119d100d5df1b2d8ee17b3ca8b0a23ad7e9eb5fa705 | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | strict-same-gguf-llama-server | 65baa818dd6bdbb2e3d7764bf182fad35e26bf49 | Pre-window nvidia-smi reported about 11.99 W while production vLLM was resident.; Pre-window GPU temperature was 38 C; post-run temperature and memory were checked before documenting the run.; Production llm.service was intentionally stopped for an exclusive GPU window; no public strict-lane exposure was configured. | 34e5504b457457cef62016a60ec926a4f572d99e3dde32419b50a795e590d4d1 |
| 76 | 2026-05-07-hetzner-gex44-gemma4-llama-strict-gguf-20260507-154814-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Gemma 4 E2B | http://127.0.0.1:18011/v1/chat/completions | llama-server; 9030 (a09a00e50); http://127.0.0.1:18011/v1 | google/gemma-4-E2B-it | Q4_K_M | bartowski/google_gemma-4-E2B-it-GGUF; google_gemma-4-E2B-it-Q4_K_M.gguf | b5e99bd964eaacc27ba484bb2eb3e9f6160b9143 | b5310340b3a23d31655d7119d100d5df1b2d8ee17b3ca8b0a23ad7e9eb5fa705 | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | strict-same-gguf-llama-server | 65baa818dd6bdbb2e3d7764bf182fad35e26bf49 | Pre-window nvidia-smi reported about 11.99 W while production vLLM was resident.; Pre-window GPU temperature was 38 C; post-run temperature and memory were checked before documenting the run.; Production llm.service was intentionally stopped for an exclusive GPU window; no public strict-lane exposure was configured. | 7ae24172941595e52bb3c108ebbb1deddf8548583606b6ba2847976fbd24a4ba |
| 77 | 2026-05-07-hetzner-gex44-gemma4-llama-strict-gguf-20260507-161956-patch | 2026-09-02T10:33:15+00:00 | 1 | patch-from-failure 0.1.0 | openai-chat | Gemma 4 E2B | http://127.0.0.1:18011/v1/chat/completions | llama-server; 9030 (a09a00e50); http://127.0.0.1:18011/v1 | google/gemma-4-E2B-it | Q4_K_M | bartowski/google_gemma-4-E2B-it-GGUF; google_gemma-4-E2B-it-Q4_K_M.gguf | b5e99bd964eaacc27ba484bb2eb3e9f6160b9143 | b5310340b3a23d31655d7119d100d5df1b2d8ee17b3ca8b0a23ad7e9eb5fa705 | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | strict-same-gguf-llama-server | b1e62c0 | live host wall power not separately metered; GPU power captured by nvidia-smi snapshots; GPU temperature captured before and after with nvidia-smi; no intentional thermal load beyond production baseline; production llm.service stopped only for exclusive GPU window; llm-mgmt and caddy remained active | a3518e7aced2b71db491b094ef3181922800d71f923230cf9ba35852640c738b |
| 78 | 2026-05-07-hetzner-gex44-gemma4-llama-strict-gguf-20260507-161956-wrap | 2026-09-02T10:33:15+00:00 | 2 | desktop-django-wrap 0.1.5 | openai-chat | Gemma 4 E2B | http://127.0.0.1:18011/v1/chat/completions | llama-server; 9030 (a09a00e50); http://127.0.0.1:18011/v1 | google/gemma-4-E2B-it | Q4_K_M | bartowski/google_gemma-4-E2B-it-GGUF; google_gemma-4-E2B-it-Q4_K_M.gguf | b5e99bd964eaacc27ba484bb2eb3e9f6160b9143 | b5310340b3a23d31655d7119d100d5df1b2d8ee17b3ca8b0a23ad7e9eb5fa705 | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | strict-same-gguf-llama-server | b1e62c0 | live host wall power not separately metered; GPU power captured by nvidia-smi snapshots; GPU temperature captured before and after with nvidia-smi; no intentional thermal load beyond production baseline; production llm.service stopped only for exclusive GPU window; llm-mgmt and caddy remained active | a9e3ecdbe4d1f4a40fa5c2b30029130892dde809f5f6b86aef2648d39fe52727 |
| 79 | 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-patch | 2026-09-02T10:33:15+00:00 | 1 | patch-from-failure 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:18082/v1/chat/completions | llama-server; 9030 (a09a00e50), GNU 13.3.0, Linux x86_64, CUDA; http://127.0.0.1:18082/v1 | Qwen/Qwen3.6-27B | Q4_K_M | unsloth/Qwen3.6-27B-GGUF; Qwen3.6-27B-Q4_K_M.gguf | — | 5ed60d0af4650a854b1755bd392f9aef4872643dc25a254bc68043fa638392a0 | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | strict-same-gguf-llama-server | 38f2017 | not explicitly controlled; capture in run notes when starting exclusive GPU window; production llm.service stopped only during the strict-lane exclusive GPU window | 91b1457944bc139a762fa513f0e0253db8fdb7c0ea09a3349154adab1296eddd |
| 80 | 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-runtime | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:18082/v1/chat/completions | llama-server; 9030 (a09a00e50), GNU 13.3.0, Linux x86_64, CUDA; http://127.0.0.1:18082/v1 | Qwen/Qwen3.6-27B | Q4_K_M | unsloth/Qwen3.6-27B-GGUF; Qwen3.6-27B-Q4_K_M.gguf | — | 5ed60d0af4650a854b1755bd392f9aef4872643dc25a254bc68043fa638392a0 | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | strict-same-gguf-llama-server | 38f2017 | not explicitly controlled; capture in run notes when starting exclusive GPU window; production llm.service stopped only during the strict-lane exclusive GPU window | afc87ed10583bd5b24f168fea5fcb73cda0a67493aea81e6213d0850eda66d0d |
| 81 | 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:18082/v1/chat/completions | llama-server; 9030 (a09a00e50), GNU 13.3.0, Linux x86_64, CUDA; http://127.0.0.1:18082/v1 | Qwen/Qwen3.6-27B | Q4_K_M | unsloth/Qwen3.6-27B-GGUF; Qwen3.6-27B-Q4_K_M.gguf | — | 5ed60d0af4650a854b1755bd392f9aef4872643dc25a254bc68043fa638392a0 | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | strict-same-gguf-llama-server | 38f2017 | not explicitly controlled; capture in run notes when starting exclusive GPU window; production llm.service stopped only during the strict-lane exclusive GPU window | a2fbdfb28c7ac7c46665d43c7f66437d5b6f6db25b824243f212f08920555e27 |
| 82 | 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-wrap | 2026-09-02T10:33:15+00:00 | 2 | desktop-django-wrap 0.1.5 | openai-chat | Qwen3.6 27B | http://127.0.0.1:18082/v1/chat/completions | llama-server; 9030 (a09a00e50), GNU 13.3.0, Linux x86_64, CUDA; http://127.0.0.1:18082/v1 | Qwen/Qwen3.6-27B | Q4_K_M | unsloth/Qwen3.6-27B-GGUF; Qwen3.6-27B-Q4_K_M.gguf | — | 5ed60d0af4650a854b1755bd392f9aef4872643dc25a254bc68043fa638392a0 | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | strict-same-gguf-llama-server | 38f2017 | not explicitly controlled; capture in run notes when starting exclusive GPU window; production llm.service stopped only during the strict-lane exclusive GPU window | ef85043031c730c1aae7d130fad8e8ccd828b3295809a261205298b260c73069 |
| 83 | 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-preflight-20260509-234711-endpoint-correctness | 2026-09-02T10:33:15+00:00 | 1 | endpoint-python-correctness 0.2.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:18082/v1/chat/completions | llama-server; 9030 (a09a00e50), GNU 13.3.0, Linux x86_64, CUDA; http://127.0.0.1:18082/v1 | Qwen/Qwen3.6-27B | Q4_K_M | unsloth/Qwen3.6-27B-GGUF; Qwen3.6-27B-Q4_K_M.gguf | — | 5ed60d0af4650a854b1755bd392f9aef4872643dc25a254bc68043fa638392a0 | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | strict-same-gguf-llama-server | 38f2017 | not explicitly controlled; pre-window GPU temperature 38 C; production llm.service stopped only during the strict-lane exclusive GPU window | aa2d22a0f50bf3455024066bedd4e261bc0136ca79eb701e855bf934d9c34b0d |
| 84 | 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-preflight-20260509-234711-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:18082/v1/chat/completions | llama-server; 9030 (a09a00e50), GNU 13.3.0, Linux x86_64, CUDA; http://127.0.0.1:18082/v1 | Qwen/Qwen3.6-27B | Q4_K_M | unsloth/Qwen3.6-27B-GGUF; Qwen3.6-27B-Q4_K_M.gguf | — | 5ed60d0af4650a854b1755bd392f9aef4872643dc25a254bc68043fa638392a0 | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | strict-same-gguf-llama-server | 38f2017 | not explicitly controlled; pre-window GPU temperature 38 C; production llm.service stopped only during the strict-lane exclusive GPU window | e12238e237257e3452e1cf23fafced2d5c8c8ad22d25fc063e15d665f03f9fb9 |
| 85 | 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-patch | 2026-09-02T10:33:15+00:00 | 1 | patch-from-failure 0.1.0 | openai-chat | Gemma 4 26B-A4B | http://127.0.0.1:18083/v1/chat/completions | llama-server; 9030 (a09a00e50); http://127.0.0.1:18083/v1 | — | Q4_K_M | ggml-org/gemma-4-26B-A4B-it-GGUF; gemma-4-26B-A4B-it-Q4_K_M.gguf | — | 88f4a13b0bb95f031a7fad973e10854122fb67ebc34d214d39a2f65053046abc | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | strict-same-gguf-llama-server | — | — | fa22c961b456dffd7595e4edc4e74a6afbe7cbc04e88b18c1068687e670cd5f4 |
| 86 | 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-runtime | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Gemma 4 26B-A4B | http://127.0.0.1:18083/v1/chat/completions | llama-server; 9030 (a09a00e50); http://127.0.0.1:18083/v1 | — | Q4_K_M | ggml-org/gemma-4-26B-A4B-it-GGUF; gemma-4-26B-A4B-it-Q4_K_M.gguf | — | 88f4a13b0bb95f031a7fad973e10854122fb67ebc34d214d39a2f65053046abc | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | strict-same-gguf-llama-server | — | — | 4963169dd0da0559d255352c8ac8997984dac35b12fc381248f443c6b78873d5 |
| 87 | 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Gemma 4 26B-A4B | http://127.0.0.1:18083/v1/chat/completions | llama-server; 9030 (a09a00e50); http://127.0.0.1:18083/v1 | — | Q4_K_M | ggml-org/gemma-4-26B-A4B-it-GGUF; gemma-4-26B-A4B-it-Q4_K_M.gguf | — | 88f4a13b0bb95f031a7fad973e10854122fb67ebc34d214d39a2f65053046abc | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | strict-same-gguf-llama-server | — | — | 306f25a90ab8acd75aed50c6fdc17aeddc217c81926ba6ea3388c0c80affba3c |
| 88 | 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-wrap | 2026-09-02T10:33:15+00:00 | 2 | desktop-django-wrap 0.1.5 | openai-chat | Gemma 4 26B-A4B | http://127.0.0.1:18083/v1/chat/completions | llama-server; 9030 (a09a00e50); http://127.0.0.1:18083/v1 | — | Q4_K_M | ggml-org/gemma-4-26B-A4B-it-GGUF; gemma-4-26B-A4B-it-Q4_K_M.gguf | — | 88f4a13b0bb95f031a7fad973e10854122fb67ebc34d214d39a2f65053046abc | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | strict-same-gguf-llama-server | — | — | 90b30c41a37b349b30c4905647f0b86f1bbbd6e00bf251c1593ce77bc6446ad8 |
| 89 | 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-runtime | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Gemma 4 26B-A4B | http://127.0.0.1:18083/v1/chat/completions | llama-server; 9030 (a09a00e50); http://127.0.0.1:18083/v1 | — | Q4_K_M | ggml-org/gemma-4-26B-A4B-it-GGUF; gemma-4-26B-A4B-it-Q4_K_M.gguf | — | 88f4a13b0bb95f031a7fad973e10854122fb67ebc34d214d39a2f65053046abc | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | strict-same-gguf-llama-server | — | — | 5419cd0756190ab16948fb69f94dfe84b32ca6b828b2593ca76a2d767a625816 |
| 90 | 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-smoke | 2026-09-02T10:33:15+00:00 | 1 | smoke-chat 0.1.0 | openai-chat | Gemma 4 26B-A4B | http://127.0.0.1:18083/v1/chat/completions | llama-server; 9030 (a09a00e50); http://127.0.0.1:18083/v1 | — | Q4_K_M | ggml-org/gemma-4-26B-A4B-it-GGUF; gemma-4-26B-A4B-it-Q4_K_M.gguf | — | 88f4a13b0bb95f031a7fad973e10854122fb67ebc34d214d39a2f65053046abc | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | strict-same-gguf-llama-server | — | — | 6c43aa96a6c6a581fe56b44fd44af351ae79accdf49cc2230f42667afce259e7 |
| 91 | 2026-06-28-product-offer-pricerunner-pi-gpt55 | 2026-09-02T10:33:15+00:00 | 2 | product-offer-matching 0.1.0 | openai-chat | openai-codex/gpt-5.5 | http://127.0.0.1:18089/v1/chat/completions | benchpack external-agent placeholder adapter plus Pi; http://127.0.0.1:18089/v1 placeholder adapter for required pre-task adapter call | openai-codex/gpt-5.5 | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | db1f39c2108cc9c1be52f375a82f549ae243280af2c65cb99cee29b836ed6c83 |
| 92 | 2026-09-01-m4-max-laguna-xs21-llamacpp-q4km | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | laguna-xs21-q4km | http://127.0.0.1:18088/v1/chat/completions | — | — | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | e694e05662794564168ca66bd983e4374a297fe5aaf34fe1617e8a538574963d |
| 93 | 2026-09-01-m4-max-qwen38-27b-llamacpp-q4km | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Qwen3.8 27B | http://127.0.0.1:18086/v1/chat/completions | — | — | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | 03c7f32c6d5c06f79ce280cae39b0eefcda773461a6ec497e15e4450e9bcb9d9 |
| 94 | 2026-09-01-m4-max-qwen38-27b-mlx-4bit | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Qwen3.8 27B | http://127.0.0.1:18087/v1/chat/completions | — | — | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | ca19842285e963c55aac756fde93586cd67a7e353930c77055f9badcf8a55d88 |
| 95 | 2026-09-01-m5-max-laguna-xs21-llamacpp-q4km | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | laguna-xs21-q4km | http://127.0.0.1:18088/v1/chat/completions | — | — | — | — | — | — | Apple M5 Max (64 GB) | — | — | — | 49c102821294f5a1fd773ac8afd56d8b7c5e46b48d259aa2fa1a07b584d1f1ed |
| 96 | 2026-09-01-m5-max-laguna-xs21-llamacpp-q4km-rerun | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | laguna-xs21-q4km | http://127.0.0.1:18088/v1/chat/completions | — | — | — | — | — | — | Apple M5 Max (64 GB) | — | — | — | 5fcb95af94188b9d009021ed3af5efa12e7308109fe31fc992a0d74d0a089b98 |
| 97 | 2026-09-01-m5-max-qwen38-27b-llamacpp-q4km | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Qwen3.8 27B | http://127.0.0.1:18086/v1/chat/completions | — | — | — | — | — | — | Apple M5 Max (64 GB) | — | — | — | 171dfb1d1c882f4c97a620a7e027a149c3fbee631849611790ff61d6e05be07c |
| 98 | 2026-09-01-m5-max-qwen38-27b-mlx-4bit | 2026-09-02T10:33:15+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Qwen3.8 27B | http://127.0.0.1:18087/v1/chat/completions | — | — | — | — | — | — | Apple M5 Max (64 GB) | — | — | — | 555032109d2b46429ec43afccf7fb507fb28a03e88fa92e8db56a26ed39ea189 |
| 99 | product-offer-pi-gpt55-20260627 | 2026-09-02T10:33:15+00:00 | 2 | product-offer-matching 0.1.0 | openai-chat | openai-codex/gpt-5.5 | http://127.0.0.1:18089/v1/chat/completions | benchpack external-agent placeholder adapter plus Pi; pi CLI with openai-codex/gpt-5.5; http://127.0.0.1:18089/v1 placeholder adapter for required pre-task adapter call | openai-codex/gpt-5.5 | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | 712a9a26998d5242ce4d9537b6e2b0a631c27279571151c08017a892a9fbbd67 |
| 100 | product-offer-pi-gpt55-large-pairwise-20260627 | 2026-09-02T10:33:15+00:00 | 2 | product-offer-matching 0.1.0 | openai-chat | openai-codex/gpt-5.5 | http://127.0.0.1:18089/v1/chat/completions | benchpack external-agent placeholder adapter plus Pi; pi CLI with openai-codex/gpt-5.5; http://127.0.0.1:18089/v1 placeholder adapter for required pre-task adapter call | openai-codex/gpt-5.5 | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | 0765362a07e3c6d90b940a9686bd62c86195ddddac26af9b4c395a6abefde88e |
| 101 | product-offer-pi-qwen36-27b-20260627 | 2026-09-02T10:33:15+00:00 | 2 | product-offer-matching 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:18089/v1/chat/completions | benchpack external-agent placeholder adapter plus Pi; pi CLI with ollama/qwen36-27b-gguf:q4km; http://127.0.0.1:18089/v1 placeholder adapter for required pre-task adapter call | ollama/qwen36-27b-gguf:q4km | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | 83fafe559b2011a6790c2eb6c85c0a7dd3e189b43935c9e060ba6e591567bf66 |
| 102 | product-offer-pi-qwen36-27b-llamacpp-high-20260627 | 2026-09-02T10:33:15+00:00 | 2 | product-offer-matching 0.1.0 | openai-chat | placeholder-adapter | http://127.0.0.1:18089/v1/chat/completions | 9820 (3fc4e1052); http://127.0.0.1:18083/v1 | — | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | ac58e9f3ab58956616c6476af1f69cc79506808c80ddfb49bfb082be3d612897 |
| 103 | product-offer-pi-qwen36-27b-tools-128k-20260627 | 2026-09-02T10:33:15+00:00 | 2 | product-offer-matching 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:18089/v1/chat/completions | benchpack external-agent placeholder adapter plus Pi; pi CLI with ollama/qwen36-27b-tools-128k:bench; http://127.0.0.1:18089/v1 placeholder adapter for required pre-task adapter call | ollama/qwen36-27b-tools-128k:bench | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | 3ebdf81b12a714b8756ac28417074e3289788f8f2127e2012a93c1a384ba5f2e |
| 104 | product-offer-pi-qwen36-27b-tools-20260627 | 2026-09-02T10:33:15+00:00 | 2 | product-offer-matching 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:18089/v1/chat/completions | benchpack external-agent placeholder adapter plus Pi; pi CLI with ollama/qwen36-27b-tools:latest; http://127.0.0.1:18089/v1 placeholder adapter for required pre-task adapter call | ollama/qwen36-27b-tools:latest | — | — | — | — | Apple M4 Max (128 GB) | — | — | — | 1a98ab3917345188e0bee393a008de44521a47c3a480776a8a33ea1069f6b821 |
| 105 | product-offer-pi-qwen36-llamacpp-high-large-pairwise-20260627 | 2026-09-02T10:33:15+00:00 | 2 | product-offer-matching 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:18089/v1/chat/completions | 9820 (3fc4e1052); http://127.0.0.1:18083/v1 | llamacpp-qwen36/qwen36-27b-q4km-high | Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | — | 769dc867a04c0ac11c9ef6e0d5a41f678de33346a38a69eed84dd7acd5ebb9b5 |
| 106 | product-offer-pi-qwen36-llamacpp-high-large-pairwise-python-final-20260627 | 2026-09-02T10:33:15+00:00 | 1 | product-offer-matching 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:18089/v1/chat/completions | 9820 (3fc4e1052); http://127.0.0.1:18083/v1 | llamacpp-qwen36/qwen36-27b-q4km-high | Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | — | 099a04a477cd5753f5739e962d9ae05cc0a49eec94105cd4e1095b350bfaea21 |
| 107 | product-offer-pi-qwen36-llamacpp-high-large-pairwise-python-rerun-20260627 | 2026-09-02T10:33:15+00:00 | 1 | product-offer-matching 0.1.0 | openai-chat | Qwen3.6 27B | http://127.0.0.1:18089/v1/chat/completions | 9820 (3fc4e1052); http://127.0.0.1:18083/v1 | llamacpp-qwen36/qwen36-27b-q4km-high | Q4_K_M | — | — | — | Apple M4 Max (128 GB) | — | — | — | a88b1d620830e3c06ccfc2a0bdad7f25b054b1f7c53fc823beaabc2e0bc54454 |
| 108 | 2026-09-02-hetzner-gex44-qwen38-27b-q4km-20260902-runtime | 2026-09-02T15:59:40+00:00 | 9 | runtime-sweep 0.1.0 | openai-chat | Qwen3.8 27B | http://127.0.0.1:18084/v1/chat/completions | llama-server; 9030 (a09a00e50), GNU 13.3.0, Linux x86_64, CUDA; http://127.0.0.1:18084/v1 through an SSH local forward | Qwen/Qwen3.8-27B | Q4_K_M | ggml-org/Qwen3.8-27B-GGUF; Qwen3.8-27B-Q4_K_M.gguf | 0669b98607d47046c7c2b3f801011d54a08cfccf | 31629f53165ab6a7dad8c9847dcfd1fdf55829dac1e6e748f4a68581b0033d34 | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | same-gguf-remote-inference | 76bc7bb7ecc1605f90f4fc0faa5e18267c581dea | nvidia-smi sampled during the run; nvidia-smi sampled during the run; production llm.service stopped for an exclusive GPU window | d012bbc0756d638d9920d1a9d6ea9f488fe57b7f774d12621433ed54cf3e33e1 |
Comparison Matrix
| run | pack | case | host | runtime | model | quantization | rows | ok | scoring passed | wall med s | TTFT med s | decode TPS med | total TPS med | prompt tok med | cached tok med | output tok med |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-04-28-mlx-lm-runtime | runtime-sweep 0.1.0 | long | Apple M5 Max (64 GB) | — | Qwen2.5 0.5B Instruct | — | 3 | 3 | — | 0.37 | 0.06 | 406.38 | 345.01 | 811.00 | — | 128.00 |
| 2026-04-28-mlx-lm-runtime | runtime-sweep 0.1.0 | medium | Apple M5 Max (64 GB) | — | Qwen2.5 0.5B Instruct | — | 3 | 3 | — | 0.35 | 0.06 | 419.80 | 347.09 | 376.00 | — | 120.00 |
| 2026-04-28-mlx-lm-runtime | runtime-sweep 0.1.0 | short | Apple M5 Max (64 GB) | — | Qwen2.5 0.5B Instruct | — | 3 | 3 | — | 0.26 | 0.06 | 436.67 | 299.11 | 104.00 | — | 77.00 |
| 2026-04-28-mlx-lm-smoke | smoke-chat 0.1.0 | capital | Apple M5 Max (64 GB) | — | Qwen2.5 0.5B Instruct | — | 1 | 1 | 1/1 | 0.68 | — | — | 11.68 | 41.00 | — | 8.00 |
| 2026-04-29-llama-server-runtime | runtime-sweep 0.1.0 | long | Apple M5 Max (64 GB) | — | Qwen2.5 0.5B Instruct | — | 3 | 3 | — | 0.20 | 0.01 | 411.57 | 398.54 | 811.00 | — | 81.00 |
| 2026-04-29-llama-server-runtime | runtime-sweep 0.1.0 | medium | Apple M5 Max (64 GB) | — | Qwen2.5 0.5B Instruct | — | 3 | 3 | — | 0.30 | 0.01 | 410.07 | 402.01 | 376.00 | — | 119.00 |
| 2026-04-29-llama-server-runtime | runtime-sweep 0.1.0 | short | Apple M5 Max (64 GB) | — | Qwen2.5 0.5B Instruct | — | 3 | 3 | — | 0.28 | 0.01 | 411.82 | 403.76 | 104.00 | — | 114.00 |
| 2026-04-29-llama-server-smoke | smoke-chat 0.1.0 | capital | Apple M5 Max (64 GB) | — | Qwen2.5 0.5B Instruct | — | 1 | 1 | 1/1 | 0.26 | — | — | 30.87 | 41.00 | — | 8.00 |
| 2026-04-30-llama-server-desktop-django-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | Apple M5 Max (64 GB) | — | Qwen2.5 0.5B Instruct | — | 1 | 1 | 0/1 | 0.88 | 0.03 | 402.68 | 386.97 | 648.00 | 0.00 | 342.00 |
| 2026-04-30-llama-server-desktop-django-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | Apple M5 Max (64 GB) | — | Qwen2.5 0.5B Instruct | — | 1 | 1 | 0/1 | 1.23 | 0.27 | 402.87 | 312.83 | 569.00 | 0.00 | 384.00 |
| 2026-05-03-m4-max-llama-qwen25-05b-190636-patch | patch-from-failure 0.1.0 | fix-greeting | Apple M4 Max (128 GB) | — | Qwen2.5 0.5B Instruct | — | 1 | 1 | 0/1 | 0.51 | — | — | 318.40 | 199.00 | 23.00 | 161.00 |
| 2026-05-03-m4-max-llama-qwen25-05b-190636-runtime | runtime-sweep 0.1.0 | long | Apple M4 Max (128 GB) | — | Qwen2.5 0.5B Instruct | — | 3 | 3 | — | 0.25 | 0.01 | 335.28 | 325.92 | 811.00 | 810.00 | 81.00 |
| 2026-05-03-m4-max-llama-qwen25-05b-190636-runtime | runtime-sweep 0.1.0 | medium | Apple M4 Max (128 GB) | — | Qwen2.5 0.5B Instruct | — | 3 | 3 | — | 0.36 | 0.01 | 334.90 | 329.17 | 376.00 | 375.00 | 119.00 |
| 2026-05-03-m4-max-llama-qwen25-05b-190636-runtime | runtime-sweep 0.1.0 | short | Apple M4 Max (128 GB) | — | Qwen2.5 0.5B Instruct | — | 3 | 3 | — | 0.35 | 0.01 | 333.66 | 327.85 | 104.00 | 103.00 | 114.00 |
| 2026-05-03-m4-max-llama-qwen25-05b-190636-smoke | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | — | Qwen2.5 0.5B Instruct | — | 1 | 1 | 1/1 | 0.20 | — | — | 40.81 | 41.00 | 0.00 | 8.00 |
| 2026-05-03-m4-max-llama-qwen25-05b-190636-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | Apple M4 Max (128 GB) | — | Qwen2.5 0.5B Instruct | — | 1 | 1 | 0/1 | 1.08 | 0.06 | 334.33 | 315.99 | 648.00 | 0.00 | 342.00 |
| 2026-05-03-m4-max-llama-qwen25-05b-190636-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | Apple M4 Max (128 GB) | — | Qwen2.5 0.5B Instruct | — | 1 | 1 | 0/1 | 1.20 | 0.06 | 338.01 | 320.02 | 569.00 | 0.00 | 384.00 |
| 2026-05-03-m4-max-mlx-qwen25-05b-185824-patch | patch-from-failure 0.1.0 | fix-greeting | Apple M4 Max (128 GB) | — | Qwen2.5 0.5B Instruct | — | 1 | 1 | 0/1 | 0.74 | — | — | 344.77 | 199.00 | 24.00 | 256.00 |
| 2026-05-03-m4-max-mlx-qwen25-05b-185824-runtime | runtime-sweep 0.1.0 | long | Apple M4 Max (128 GB) | — | Qwen2.5 0.5B Instruct | — | 3 | 3 | — | 0.41 | 0.06 | 362.45 | 313.60 | 811.00 | 810.00 | 128.00 |
| 2026-05-03-m4-max-mlx-qwen25-05b-185824-runtime | runtime-sweep 0.1.0 | medium | Apple M4 Max (128 GB) | — | Qwen2.5 0.5B Instruct | — | 3 | 3 | — | 0.37 | 0.05 | 382.64 | 327.46 | 376.00 | 375.00 | 120.00 |
| 2026-05-03-m4-max-mlx-qwen25-05b-185824-runtime | runtime-sweep 0.1.0 | short | Apple M4 Max (128 GB) | — | Qwen2.5 0.5B Instruct | — | 3 | 3 | — | 0.25 | 0.05 | 395.31 | 311.73 | 104.00 | 103.00 | 77.00 |
| 2026-05-03-m4-max-mlx-qwen25-05b-185824-smoke | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | — | Qwen2.5 0.5B Instruct | — | 1 | 1 | 1/1 | 0.53 | — | — | 15.16 | 41.00 | 0.00 | 8.00 |
| 2026-05-03-m4-max-mlx-qwen25-05b-185824-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | Apple M4 Max (128 GB) | — | Qwen2.5 0.5B Instruct | — | 1 | 1 | 0/1 | 1.17 | 0.10 | 358.34 | 327.56 | 648.00 | 26.00 | 384.00 |
| 2026-05-03-m4-max-mlx-qwen25-05b-185824-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | Apple M4 Max (128 GB) | — | Qwen2.5 0.5B Instruct | — | 1 | 1 | 0/1 | 1.15 | 0.11 | 366.57 | 332.68 | 569.00 | 23.00 | 384.00 |
| 2026-05-03-m4-max-qwen3coder-184938-patch | patch-from-failure 0.1.0 | fix-greeting | Apple M4 Max (128 GB) | — | Qwen3 Coder 30B-A3B | — | 1 | 1 | 0/1 | 1.21 | — | 103.51 | 77.04 | 179.00 | — | 93.00 |
| 2026-05-03-m4-max-qwen3coder-184938-runtime | runtime-sweep 0.1.0 | long | Apple M4 Max (128 GB) | — | Qwen3 Coder 30B-A3B | — | 3 | 3 | — | 1.17 | — | 99.42 | 91.69 | 790.00 | — | 107.00 |
| 2026-05-03-m4-max-qwen3coder-184938-runtime | runtime-sweep 0.1.0 | medium | Apple M4 Max (128 GB) | — | Qwen3 Coder 30B-A3B | — | 3 | 3 | — | 1.30 | — | 101.07 | 93.68 | 355.00 | — | 122.00 |
| 2026-05-03-m4-max-qwen3coder-184938-runtime | runtime-sweep 0.1.0 | short | Apple M4 Max (128 GB) | — | Qwen3 Coder 30B-A3B | — | 3 | 3 | — | 1.23 | — | 102.52 | 94.40 | 83.00 | — | 116.00 |
| 2026-05-03-m4-max-qwen3coder-184938-smoke | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | — | Qwen3 Coder 30B-A3B | — | 1 | 1 | 1/1 | 19.07 | — | 66.46 | 0.42 | 20.00 | — | 8.00 |
| 2026-05-03-m4-max-qwen3coder-184938-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | Apple M4 Max (128 GB) | — | Qwen3 Coder 30B-A3B | — | 1 | 1 | 0/1 | 2.14 | — | 100.37 | 73.28 | 627.00 | — | 157.00 |
| 2026-05-03-m4-max-qwen3coder-184938-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | Apple M4 Max (128 GB) | — | Qwen3 Coder 30B-A3B | — | 1 | 1 | 0/1 | 1.77 | — | 100.61 | 67.19 | 548.00 | — | 119.00 |
| 2026-05-05-m4-qwen36-dense-llamacpp-154321-patch | patch-from-failure 0.1.0 | fix-greeting | Apple M4 Max (128 GB) | llama-server | Qwen3.6 27B | Q4_K_M | 1 | 1 | 0/1 | 3.63 | — | — | 15.97 | 194.00 | 0.00 | 58.00 |
| 2026-05-05-m4-qwen36-dense-llamacpp-154321-runtime | runtime-sweep 0.1.0 | long | Apple M4 Max (128 GB) | llama-server | Qwen3.6 27B | Q4_K_M | 3 | 3 | — | 6.02 | 0.16 | 21.80 | 21.25 | 806.00 | 802.00 | 128.00 |
| 2026-05-05-m4-qwen36-dense-llamacpp-154321-runtime | runtime-sweep 0.1.0 | medium | Apple M4 Max (128 GB) | llama-server | Qwen3.6 27B | Q4_K_M | 3 | 3 | — | 5.88 | 0.15 | 22.35 | 21.78 | 364.00 | 360.00 | 128.00 |
| 2026-05-05-m4-qwen36-dense-llamacpp-154321-runtime | runtime-sweep 0.1.0 | short | Apple M4 Max (128 GB) | llama-server | Qwen3.6 27B | Q4_K_M | 3 | 3 | — | 4.85 | 0.15 | 22.36 | 21.66 | 87.00 | 83.00 | 105.00 |
| 2026-05-05-m4-qwen36-dense-llamacpp-154321-smoke | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | llama-server | Qwen3.6 27B | Q4_K_M | 1 | 1 | 1/1 | 0.67 | — | — | 11.98 | 24.00 | 0.00 | 8.00 |
| 2026-05-05-m4-qwen36-dense-llamacpp-154321-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | Apple M4 Max (128 GB) | llama-server | Qwen3.6 27B | Q4_K_M | 1 | 1 | 1/1 | 10.36 | 3.01 | 21.90 | 15.54 | 657.00 | 0.00 | 161.00 |
| 2026-05-05-m4-qwen36-dense-llamacpp-154321-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | Apple M4 Max (128 GB) | llama-server | Qwen3.6 27B | Q4_K_M | 1 | 1 | 1/1 | 9.93 | 2.60 | 21.95 | 16.21 | 579.00 | 0.00 | 161.00 |
| 2026-05-05-m4-qwen36-dense-llamacpp-smoke-154255 | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | llama-server | Qwen3.6 27B | Q4_K_M | 1 | 1 | 1/1 | 1.01 | — | — | 7.92 | 24.00 | 0.00 | 8.00 |
| 2026-05-05-m4-qwen36-dense-mlx-155943-patch | patch-from-failure 0.1.0 | fix-greeting | Apple M4 Max (128 GB) | mlx-lm server | Qwen3.6 27B | 4bit | 1 | 1 | 0/1 | 3.12 | — | — | 18.56 | 194.00 | 0.00 | 58.00 |
| 2026-05-05-m4-qwen36-dense-mlx-155943-runtime | runtime-sweep 0.1.0 | long | Apple M4 Max (128 GB) | mlx-lm server | Qwen3.6 27B | 4bit | 3 | 3 | — | 4.92 | 0.18 | 27.00 | 26.02 | 806.00 | 805.00 | 128.00 |
| 2026-05-05-m4-qwen36-dense-mlx-155943-runtime | runtime-sweep 0.1.0 | medium | Apple M4 Max (128 GB) | mlx-lm server | Qwen3.6 27B | 4bit | 3 | 3 | — | 4.93 | 0.18 | 26.85 | 25.95 | 364.00 | 363.00 | 128.00 |
| 2026-05-05-m4-qwen36-dense-mlx-155943-runtime | runtime-sweep 0.1.0 | short | Apple M4 Max (128 GB) | mlx-lm server | Qwen3.6 27B | 4bit | 3 | 3 | — | 3.02 | 0.18 | 27.04 | 25.46 | 87.00 | 86.00 | 77.00 |
| 2026-05-05-m4-qwen36-dense-mlx-155943-smoke | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | mlx-lm server | Qwen3.6 27B | 4bit | 1 | 1 | 1/1 | 0.62 | — | — | 12.80 | 24.00 | 23.00 | 8.00 |
| 2026-05-05-m4-qwen36-dense-mlx-155943-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | Apple M4 Max (128 GB) | mlx-lm server | Qwen3.6 27B | 4bit | 1 | 1 | 1/1 | 7.58 | 2.86 | 26.71 | 16.63 | 657.00 | 0.00 | 126.00 |
| 2026-05-05-m4-qwen36-dense-mlx-155943-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | Apple M4 Max (128 GB) | mlx-lm server | Qwen3.6 27B | 4bit | 1 | 1 | 1/1 | 8.67 | 2.50 | 26.89 | 19.14 | 579.00 | 0.00 | 166.00 |
| 2026-05-05-m4-qwen36-dense-mlx-smoke-155916 | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | mlx-lm server | Qwen3.6 27B | 4bit | 1 | 1 | 1/1 | 0.99 | — | — | 8.11 | 24.00 | 0.00 | 8.00 |
| 2026-05-05-m4-qwen36-dense-ollama-155051-patch | patch-from-failure 0.1.0 | fix-greeting | Apple M4 Max (128 GB) | ollama | Qwen3.6 27B | Q4_K_M | 1 | 1 | 0/1 | 1.13 | — | — | 0.88 | 183.00 | — | 1.00 |
| 2026-05-05-m4-qwen36-dense-ollama-155051-runtime | runtime-sweep 0.1.0 | long | Apple M4 Max (128 GB) | ollama | Qwen3.6 27B | Q4_K_M | 3 | 3 | — | 9.39 | — | 16.42 | 13.63 | 795.00 | — | 128.00 |
| 2026-05-05-m4-qwen36-dense-ollama-155051-runtime | runtime-sweep 0.1.0 | medium | Apple M4 Max (128 GB) | ollama | Qwen3.6 27B | Q4_K_M | 3 | 3 | — | 9.79 | — | 16.46 | 13.08 | 353.00 | — | 128.00 |
| 2026-05-05-m4-qwen36-dense-ollama-155051-runtime | runtime-sweep 0.1.0 | short | Apple M4 Max (128 GB) | ollama | Qwen3.6 27B | Q4_K_M | 3 | 3 | — | 8.52 | — | 16.36 | 15.02 | 76.00 | — | 128.00 |
| 2026-05-05-m4-qwen36-dense-ollama-155051-smoke | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | ollama | Qwen3.6 27B | Q4_K_M | 1 | 1 | 1/1 | 2.21 | — | 16.53 | 13.55 | 12.00 | — | 30.00 |
| 2026-05-05-m4-qwen36-dense-ollama-155051-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | Apple M4 Max (128 GB) | ollama | Qwen3.6 27B | Q4_K_M | 1 | 1 | 0/1 | 27.11 | — | 16.31 | 14.16 | 646.00 | — | 384.00 |
| 2026-05-05-m4-qwen36-dense-ollama-155051-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | Apple M4 Max (128 GB) | ollama | Qwen3.6 27B | Q4_K_M | 1 | 1 | 0/1 | 26.86 | — | 16.16 | 14.30 | 568.00 | — | 384.00 |
| 2026-05-05-m4-qwen36-dense-ollama-smoke-154808 | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | ollama | Qwen3.6 27B | Q4_K_M | 1 | 1 | 1/1 | 14.02 | — | 16.56 | 2.14 | 12.00 | — | 30.00 |
| 2026-05-05-m4-qwen36-moe-llamacpp-153657-patch | patch-from-failure 0.1.0 | fix-greeting | Apple M4 Max (128 GB) | llama-server | Qwen3.6 35B-A3B | UD-Q4_K_M | 1 | 1 | 0/1 | 1.08 | — | — | 53.56 | 194.00 | 0.00 | 58.00 |
| 2026-05-05-m4-qwen36-moe-llamacpp-153657-runtime | runtime-sweep 0.1.0 | long | Apple M4 Max (128 GB) | llama-server | Qwen3.6 35B-A3B | UD-Q4_K_M | 3 | 3 | — | 1.85 | 0.04 | 70.77 | 69.35 | 806.00 | 802.00 | 128.00 |
| 2026-05-05-m4-qwen36-moe-llamacpp-153657-runtime | runtime-sweep 0.1.0 | medium | Apple M4 Max (128 GB) | llama-server | Qwen3.6 35B-A3B | UD-Q4_K_M | 3 | 3 | — | 1.76 | 0.04 | 74.18 | 72.54 | 364.00 | 360.00 | 128.00 |
| 2026-05-05-m4-qwen36-moe-llamacpp-153657-runtime | runtime-sweep 0.1.0 | short | Apple M4 Max (128 GB) | llama-server | Qwen3.6 35B-A3B | UD-Q4_K_M | 3 | 3 | — | 1.88 | 0.04 | 67.38 | 65.98 | 87.00 | 83.00 | 124.00 |
| 2026-05-05-m4-qwen36-moe-llamacpp-153657-smoke | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | llama-server | Qwen3.6 35B-A3B | UD-Q4_K_M | 1 | 1 | 1/1 | 0.21 | — | — | 38.12 | 24.00 | 0.00 | 8.00 |
| 2026-05-05-m4-qwen36-moe-llamacpp-153657-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | Apple M4 Max (128 GB) | llama-server | Qwen3.6 35B-A3B | UD-Q4_K_M | 1 | 1 | 1/1 | 2.66 | 0.58 | 71.86 | 56.05 | 657.00 | 0.00 | 149.00 |
| 2026-05-05-m4-qwen36-moe-llamacpp-153657-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | Apple M4 Max (128 GB) | llama-server | Qwen3.6 35B-A3B | UD-Q4_K_M | 1 | 1 | 1/1 | 2.69 | 0.54 | 73.82 | 58.84 | 579.00 | 0.00 | 158.00 |
| 2026-05-05-m4-qwen36-moe-llamacpp-reasonoff-smoke-153634 | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | llama-server | Qwen3.6 35B-A3B | UD-Q4_K_M | 1 | 1 | 1/1 | 0.55 | — | — | 14.45 | 24.00 | 0.00 | 8.00 |
| 2026-05-05-m4-qwen36-moe-llamacpp-smoke-153159 | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | llama-server | Qwen3.6 35B-A3B | UD-Q4_K_M | 1 | 1 | 0/1 | 1.14 | — | — | 56.21 | 22.00 | 0.00 | 64.00 |
| 2026-05-05-m4-qwen36-moe-mlx-155645-patch | patch-from-failure 0.1.0 | fix-greeting | Apple M4 Max (128 GB) | mlx-lm server | Qwen3.6 35B-A3B | MXFP4 | 1 | 1 | 0/1 | 0.93 | — | — | 62.64 | 194.00 | 0.00 | 58.00 |
| 2026-05-05-m4-qwen36-moe-mlx-155645-runtime | runtime-sweep 0.1.0 | long | Apple M4 Max (128 GB) | mlx-lm server | Qwen3.6 35B-A3B | MXFP4 | 3 | 3 | — | 1.42 | 0.13 | 99.72 | 90.44 | 806.00 | 805.00 | 128.00 |
| 2026-05-05-m4-qwen36-moe-mlx-155645-runtime | runtime-sweep 0.1.0 | medium | Apple M4 Max (128 GB) | mlx-lm server | Qwen3.6 35B-A3B | MXFP4 | 3 | 3 | — | 1.44 | 0.13 | 97.32 | 88.66 | 364.00 | 363.00 | 128.00 |
| 2026-05-05-m4-qwen36-moe-mlx-155645-runtime | runtime-sweep 0.1.0 | short | Apple M4 Max (128 GB) | mlx-lm server | Qwen3.6 35B-A3B | MXFP4 | 3 | 3 | — | 1.12 | 0.12 | 100.67 | 89.81 | 87.00 | 86.00 | 101.00 |
| 2026-05-05-m4-qwen36-moe-mlx-155645-smoke | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | mlx-lm server | Qwen3.6 35B-A3B | MXFP4 | 1 | 1 | 1/1 | 0.37 | — | — | 21.91 | 24.00 | 23.00 | 8.00 |
| 2026-05-05-m4-qwen36-moe-mlx-155645-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | Apple M4 Max (128 GB) | mlx-lm server | Qwen3.6 35B-A3B | MXFP4 | 1 | 1 | 1/1 | 2.08 | 0.56 | 93.60 | 68.32 | 657.00 | 0.00 | 142.00 |
| 2026-05-05-m4-qwen36-moe-mlx-155645-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | Apple M4 Max (128 GB) | mlx-lm server | Qwen3.6 35B-A3B | MXFP4 | 1 | 1 | 1/1 | 2.13 | 0.55 | 94.57 | 70.06 | 579.00 | 0.00 | 149.00 |
| 2026-05-05-m4-qwen36-moe-mlx-smoke-155619 | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | mlx-lm server | Qwen3.6 35B-A3B | MXFP4 | 1 | 1 | 1/1 | 1.46 | — | — | 5.48 | 24.00 | 0.00 | 8.00 |
| 2026-05-05-m4-qwen36-moe-ollama-154846-patch | patch-from-failure 0.1.0 | fix-greeting | Apple M4 Max (128 GB) | ollama | Qwen3.6 35B-A3B | UD-Q4_K_M | 1 | 1 | 0/1 | 6.12 | — | 45.52 | 41.86 | 183.00 | — | 256.00 |
| 2026-05-05-m4-qwen36-moe-ollama-154846-runtime | runtime-sweep 0.1.0 | long | Apple M4 Max (128 GB) | ollama | Qwen3.6 35B-A3B | UD-Q4_K_M | 3 | 3 | — | 3.29 | — | 45.76 | 38.95 | 795.00 | — | 128.00 |
| 2026-05-05-m4-qwen36-moe-ollama-154846-runtime | runtime-sweep 0.1.0 | medium | Apple M4 Max (128 GB) | ollama | Qwen3.6 35B-A3B | UD-Q4_K_M | 3 | 3 | — | 3.36 | — | 45.61 | 38.05 | 353.00 | — | 128.00 |
| 2026-05-05-m4-qwen36-moe-ollama-154846-runtime | runtime-sweep 0.1.0 | short | Apple M4 Max (128 GB) | ollama | Qwen3.6 35B-A3B | UD-Q4_K_M | 3 | 3 | — | 3.16 | — | 45.05 | 40.56 | 76.00 | — | 128.00 |
| 2026-05-05-m4-qwen36-moe-ollama-154846-smoke | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | ollama | Qwen3.6 35B-A3B | UD-Q4_K_M | 1 | 1 | 1/1 | 1.22 | — | — | — | — | — | — |
| 2026-05-05-m4-qwen36-moe-ollama-154846-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | Apple M4 Max (128 GB) | ollama | Qwen3.6 35B-A3B | UD-Q4_K_M | 1 | 1 | 0/1 | 6.41 | — | 45.65 | 39.01 | 646.00 | — | 250.00 |
| 2026-05-05-m4-qwen36-moe-ollama-154846-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | Apple M4 Max (128 GB) | ollama | Qwen3.6 35B-A3B | UD-Q4_K_M | 1 | 1 | 0/1 | 9.42 | — | 45.36 | 40.77 | 568.00 | — | 384.00 |
| 2026-05-05-m4-qwen36-moe-ollama-smoke-154747 | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | ollama | Qwen3.6 35B-A3B | UD-Q4_K_M | 1 | 1 | 1/1 | 6.12 | — | — | — | — | — | — |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1058-patch | patch-from-failure 0.1.0 | fix-greeting | Apple M4 Max (128 GB) | llama-server | Gemma 4 E2B | Q4_K_M | 1 | 1 | 0/1 | 0.65 | — | — | 119.15 | 191.00 | 4.00 | 78.00 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1058-runtime | runtime-sweep 0.1.0 | long | Apple M4 Max (128 GB) | llama-server | Gemma 4 E2B | Q4_K_M | 3 | 3 | — | 0.68 | 0.01 | 138.82 | 136.51 | 799.00 | 798.00 | 93.00 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1058-runtime | runtime-sweep 0.1.0 | medium | Apple M4 Max (128 GB) | llama-server | Gemma 4 E2B | Q4_K_M | 3 | 3 | — | 0.88 | 0.02 | 140.94 | 136.99 | 356.00 | 351.00 | 121.00 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1058-runtime | runtime-sweep 0.1.0 | short | Apple M4 Max (128 GB) | llama-server | Gemma 4 E2B | Q4_K_M | 3 | 3 | — | 0.61 | 0.02 | 140.34 | 135.17 | 84.00 | 79.00 | 83.00 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1058-smoke | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | llama-server | Gemma 4 E2B | Q4_K_M | 1 | 1 | 1/1 | 0.11 | — | — | 69.80 | 21.00 | 0.00 | 8.00 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1058-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | Apple M4 Max (128 GB) | llama-server | Gemma 4 E2B | Q4_K_M | 1 | 1 | 1/1 | 1.16 | 0.27 | 139.02 | 106.62 | 677.00 | 6.00 | 124.00 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1058-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | Apple M4 Max (128 GB) | llama-server | Gemma 4 E2B | Q4_K_M | 1 | 1 | 1/1 | 1.09 | 0.26 | 140.91 | 107.45 | 596.00 | 6.00 | 117.00 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1116-patch | patch-from-failure 0.1.0 | fix-greeting | Apple M4 Max (128 GB) | llama-server | Gemma 4 E2B | Q4_K_M | 1 | 1 | 0/1 | 0.65 | — | — | 119.48 | 191.00 | 4.00 | 78.00 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1116-runtime | runtime-sweep 0.1.0 | long | Apple M4 Max (128 GB) | llama-server | Gemma 4 E2B | Q4_K_M | 3 | 3 | — | 0.67 | 0.01 | 141.02 | 138.63 | 799.00 | 798.00 | 93.00 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1116-runtime | runtime-sweep 0.1.0 | medium | Apple M4 Max (128 GB) | llama-server | Gemma 4 E2B | Q4_K_M | 3 | 3 | — | 0.88 | 0.02 | 141.75 | 137.83 | 356.00 | 351.00 | 121.00 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1116-runtime | runtime-sweep 0.1.0 | short | Apple M4 Max (128 GB) | llama-server | Gemma 4 E2B | Q4_K_M | 3 | 3 | — | 0.60 | 0.02 | 142.55 | 137.19 | 84.00 | 79.00 | 83.00 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1116-smoke | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | llama-server | Gemma 4 E2B | Q4_K_M | 1 | 1 | 1/1 | 0.11 | — | — | 71.18 | 21.00 | 0.00 | 8.00 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1116-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | Apple M4 Max (128 GB) | llama-server | Gemma 4 E2B | Q4_K_M | 1 | 1 | 1/1 | 1.15 | 0.27 | 141.03 | 107.79 | 677.00 | 6.00 | 124.00 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1116-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | Apple M4 Max (128 GB) | llama-server | Gemma 4 E2B | Q4_K_M | 1 | 1 | 1/1 | 1.09 | 0.26 | 141.31 | 107.72 | 596.00 | 6.00 | 117.00 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-runtime-20260507-103928 | runtime-sweep 0.1.0 | long | Apple M4 Max (128 GB) | llama-server | Gemma 4 E2B | Q4_K_M | 3 | 3 | — | 0.67 | 0.01 | 141.28 | 138.35 | 799.00 | 798.00 | 93.00 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-runtime-20260507-103928 | runtime-sweep 0.1.0 | medium | Apple M4 Max (128 GB) | llama-server | Gemma 4 E2B | Q4_K_M | 3 | 3 | — | 0.89 | 0.03 | 140.53 | 136.38 | 356.00 | 351.00 | 121.00 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-runtime-20260507-103928 | runtime-sweep 0.1.0 | short | Apple M4 Max (128 GB) | llama-server | Gemma 4 E2B | Q4_K_M | 3 | 3 | — | 0.61 | 0.02 | 141.18 | 135.58 | 84.00 | 79.00 | 83.00 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-smoke-20260507-103856 | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | llama-server | Gemma 4 E2B | Q4_K_M | 1 | 1 | 1/1 | 0.30 | — | — | 26.44 | 21.00 | 0.00 | 8.00 |
| 2026-05-09-m4-max-codex-oss-direct-edit-20260509-162514-dashboard-regression-external-agent | django-dashboard-regression-fix-external-agent 0.1.1 | fix-dashboard-regressions | Apple M4 Max (128 GB) | — | Qwen3 Coder 30B-A3B | Q4_K_M | 1 | 1 | 0/1 | 11.32 | — | 96.15 | 83.84 | 1468.00 | — | 949.00 |
| 2026-05-09-m4-max-codex-oss-direct-edit-20260509-162514-patch-external-agent | patch-from-failure-external-agent 0.1.1 | fix-greeting | Apple M4 Max (128 GB) | — | Qwen3 Coder 30B-A3B | Q4_K_M | 1 | 1 | 1/1 | 11.83 | — | 102.85 | 7.86 | 346.00 | — | 93.00 |
| 2026-05-09-m4-max-codex-oss-direct-edit-20260509-162514-python-regression-external-agent | python-regression-fix-external-agent 0.1.1 | fix-task-summary | Apple M4 Max (128 GB) | — | Qwen3 Coder 30B-A3B | Q4_K_M | 1 | 1 | 0/1 | 5.58 | — | 100.07 | 83.73 | 957.00 | — | 467.00 |
| 2026-05-09-m4-max-qwen36-27b-llamacpp-strict-preflight-20260509-220411-endpoint-correctness | endpoint-python-correctness 0.2.0 | fix-inventory-aggregation | Apple M4 Max (128 GB) | llama-server | Qwen3.6 27B | Q4_K_M | 1 | 1 | 1/1 | 22.88 | — | — | 18.09 | 962.00 | 0.00 | 414.00 |
| 2026-05-09-m4-max-qwen36-27b-llamacpp-strict-preflight-20260509-220411-smoke | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | llama-server | Qwen3.6 27B | Q4_K_M | 1 | 1 | 1/1 | 0.77 | — | — | 10.39 | 24.00 | 0.00 | 8.00 |
| 2026-05-10-m4-max-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-patch | patch-from-failure 0.1.0 | fix-greeting | Apple M4 Max (128 GB) | llama-server | Qwen3.6 27B | Q4_K_M | 1 | 1 | 1/1 | 4.62 | — | — | 13.64 | 363.00 | 0.00 | 63.00 |
| 2026-05-10-m4-max-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-runtime | runtime-sweep 0.1.0 | long | Apple M4 Max (128 GB) | llama-server | Qwen3.6 27B | Q4_K_M | 3 | 3 | — | 5.86 | 0.15 | 22.42 | 21.84 | 806.00 | 802.00 | 128.00 |
| 2026-05-10-m4-max-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-runtime | runtime-sweep 0.1.0 | medium | Apple M4 Max (128 GB) | llama-server | Qwen3.6 27B | Q4_K_M | 3 | 3 | — | 5.99 | 0.15 | 21.94 | 21.39 | 364.00 | 360.00 | 128.00 |
| 2026-05-10-m4-max-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-runtime | runtime-sweep 0.1.0 | short | Apple M4 Max (128 GB) | llama-server | Qwen3.6 27B | Q4_K_M | 3 | 3 | — | 4.96 | 0.15 | 21.92 | 21.19 | 87.00 | 83.00 | 105.00 |
| 2026-05-10-m4-max-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-smoke | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | llama-server | Qwen3.6 27B | Q4_K_M | 1 | 1 | 1/1 | 0.68 | — | — | 11.82 | 24.00 | 0.00 | 8.00 |
| 2026-05-10-m4-max-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | Apple M4 Max (128 GB) | llama-server | Qwen3.6 27B | Q4_K_M | 1 | 1 | 1/1 | 10.19 | 2.95 | 22.26 | 15.81 | 657.00 | 0.00 | 161.00 |
| 2026-05-10-m4-max-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | Apple M4 Max (128 GB) | llama-server | Qwen3.6 27B | Q4_K_M | 1 | 1 | 1/1 | 9.83 | 2.56 | 22.15 | 16.38 | 579.00 | 0.00 | 161.00 |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-patch | patch-from-failure 0.1.0 | fix-greeting | Apple M4 Max (128 GB) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 1 | 1 | 1/1 | 1.00 | — | — | 61.79 | 373.00 | 4.00 | 62.00 |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-runtime | runtime-sweep 0.1.0 | long | Apple M4 Max (128 GB) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 3 | 3 | — | 1.47 | 0.04 | 89.95 | 87.25 | 803.00 | 798.00 | 128.00 |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-runtime | runtime-sweep 0.1.0 | medium | Apple M4 Max (128 GB) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 3 | 3 | — | 1.39 | 0.04 | 91.69 | 89.08 | 360.00 | 355.00 | 124.00 |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-runtime | runtime-sweep 0.1.0 | short | Apple M4 Max (128 GB) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 3 | 3 | — | 0.73 | 0.04 | 92.26 | 87.58 | 88.00 | 83.00 | 64.00 |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-smoke | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 1 | 1 | 1/1 | 0.24 | — | — | 33.94 | 25.00 | 0.00 | 8.00 |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | Apple M4 Max (128 GB) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 1 | 1 | 1/1 | 1.98 | 0.57 | 92.53 | 65.70 | 681.00 | 6.00 | 130.00 |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | Apple M4 Max (128 GB) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 1 | 1 | 1/1 | 1.56 | 0.54 | 92.90 | 60.99 | 600.00 | 6.00 | 95.00 |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-endpoint-correctness | endpoint-python-correctness 0.2.0 | fix-inventory-aggregation | Apple M4 Max (128 GB) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 1 | 1 | 0/1 | 3.46 | — | — | 67.84 | 1029.00 | 4.00 | 235.00 |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-runtime | runtime-sweep 0.1.0 | long | Apple M4 Max (128 GB) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 3 | 3 | — | 1.45 | 0.04 | 91.07 | 88.26 | 803.00 | 798.00 | 128.00 |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-runtime | runtime-sweep 0.1.0 | medium | Apple M4 Max (128 GB) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 3 | 3 | — | 1.38 | 0.04 | 92.76 | 90.02 | 360.00 | 355.00 | 124.00 |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-runtime | runtime-sweep 0.1.0 | short | Apple M4 Max (128 GB) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 3 | 3 | — | 0.72 | 0.04 | 94.18 | 89.13 | 88.00 | 83.00 | 64.00 |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-smoke | smoke-chat 0.1.0 | capital | Apple M4 Max (128 GB) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 1 | 1 | 1/1 | 0.22 | — | — | 37.03 | 25.00 | 0.00 | 8.00 |
| 2026-05-07-hetzner-gex44-gemma4-llama-strict-gguf-20260507-154814-runtime | runtime-sweep 0.1.0 | long | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Gemma 4 E2B | Q4_K_M | 3 | 3 | — | 0.80 | 0.01 | 119.38 | 117.33 | 799.00 | 798.00 | 94.00 |
| 2026-05-07-hetzner-gex44-gemma4-llama-strict-gguf-20260507-154814-runtime | runtime-sweep 0.1.0 | medium | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Gemma 4 E2B | Q4_K_M | 3 | 3 | — | 0.90 | 0.02 | 120.58 | 117.50 | 356.00 | 351.00 | 106.00 |
| 2026-05-07-hetzner-gex44-gemma4-llama-strict-gguf-20260507-154814-runtime | runtime-sweep 0.1.0 | short | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Gemma 4 E2B | Q4_K_M | 3 | 3 | — | 0.70 | 0.02 | 122.14 | 118.49 | 84.00 | 79.00 | 83.00 |
| 2026-05-07-hetzner-gex44-gemma4-llama-strict-gguf-20260507-154814-smoke | smoke-chat 0.1.0 | capital | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Gemma 4 E2B | Q4_K_M | 1 | 1 | 1/1 | 0.22 | — | — | 37.17 | 21.00 | 0.00 | 8.00 |
| 2026-05-07-hetzner-gex44-gemma4-llama-strict-gguf-20260507-161956-patch | patch-from-failure 0.1.0 | fix-greeting | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Gemma 4 E2B | Q4_K_M | 1 | 1 | 0/1 | 0.72 | — | — | 108.09 | 191.00 | 4.00 | 78.00 |
| 2026-05-07-hetzner-gex44-gemma4-llama-strict-gguf-20260507-161956-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Gemma 4 E2B | Q4_K_M | 1 | 1 | 1/1 | 1.18 | 0.11 | 118.60 | 107.41 | 677.00 | 6.00 | 127.00 |
| 2026-05-07-hetzner-gex44-gemma4-llama-strict-gguf-20260507-161956-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Gemma 4 E2B | Q4_K_M | 1 | 1 | 1/1 | 1.07 | 0.19 | 118.14 | 97.01 | 596.00 | 0.00 | 104.00 |
| 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-patch | patch-from-failure 0.1.0 | fix-greeting | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Qwen3.6 27B | Q4_K_M | 1 | 1 | 1/1 | 5.18 | — | — | 12.17 | 363.00 | 0.00 | 63.00 |
| 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-runtime | runtime-sweep 0.1.0 | long | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Qwen3.6 27B | Q4_K_M | 3 | 3 | — | 8.94 | 0.12 | 14.51 | 14.31 | 806.00 | 802.00 | 128.00 |
| 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-runtime | runtime-sweep 0.1.0 | medium | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Qwen3.6 27B | Q4_K_M | 3 | 3 | — | 8.86 | 0.12 | 14.64 | 14.44 | 364.00 | 360.00 | 128.00 |
| 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-runtime | runtime-sweep 0.1.0 | short | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Qwen3.6 27B | Q4_K_M | 3 | 3 | — | 6.37 | 0.12 | 14.73 | 14.44 | 87.00 | 83.00 | 92.00 |
| 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-smoke | smoke-chat 0.1.0 | capital | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Qwen3.6 27B | Q4_K_M | 1 | 1 | 1/1 | 0.72 | — | — | 11.15 | 24.00 | 0.00 | 8.00 |
| 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Qwen3.6 27B | Q4_K_M | 1 | 1 | 1/1 | 11.79 | 1.37 | 14.50 | 12.81 | 657.00 | 0.00 | 151.00 |
| 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Qwen3.6 27B | Q4_K_M | 1 | 1 | 1/1 | 11.78 | 1.23 | 14.50 | 12.99 | 579.00 | 0.00 | 153.00 |
| 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-preflight-20260509-234711-endpoint-correctness | endpoint-python-correctness 0.2.0 | fix-inventory-aggregation | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Qwen3.6 27B | Q4_K_M | 1 | 1 | 1/1 | 31.07 | — | — | 13.78 | 962.00 | 0.00 | 428.00 |
| 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-preflight-20260509-234711-smoke | smoke-chat 0.1.0 | capital | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Qwen3.6 27B | Q4_K_M | 1 | 1 | 1/1 | 0.73 | — | — | 10.93 | 24.00 | 0.00 | 8.00 |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-patch | patch-from-failure 0.1.0 | fix-greeting | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 1 | 1 | 1/1 | 1.16 | — | — | 53.38 | 373.00 | 4.00 | 62.00 |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-runtime | runtime-sweep 0.1.0 | long | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 3 | 3 | — | 1.86 | 0.06 | 71.14 | 68.91 | 803.00 | 798.00 | 128.00 |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-runtime | runtime-sweep 0.1.0 | medium | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 3 | 3 | — | 1.78 | 0.05 | 73.84 | 71.93 | 360.00 | 355.00 | 128.00 |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-runtime | runtime-sweep 0.1.0 | short | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 3 | 3 | — | 0.87 | 0.04 | 75.83 | 72.51 | 88.00 | 83.00 | 63.00 |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-smoke | smoke-chat 0.1.0 | capital | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 1 | 1 | 1/1 | 0.31 | — | — | 25.51 | 25.00 | 0.00 | 8.00 |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 1 | 1 | 1/1 | 2.40 | 0.46 | 71.67 | 57.95 | 681.00 | 6.00 | 139.00 |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 1 | 1 | 1/1 | 2.26 | 0.47 | 72.22 | 57.06 | 600.00 | 6.00 | 129.00 |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-runtime | runtime-sweep 0.1.0 | long | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 3 | 3 | — | 1.86 | 0.06 | 71.13 | 68.87 | 803.00 | 798.00 | 128.00 |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-runtime | runtime-sweep 0.1.0 | medium | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 3 | 3 | — | 1.78 | 0.05 | 73.93 | 71.93 | 360.00 | 355.00 | 128.00 |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-runtime | runtime-sweep 0.1.0 | short | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 3 | 3 | — | 0.87 | 0.04 | 76.00 | 72.66 | 88.00 | 83.00 | 63.00 |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-smoke | smoke-chat 0.1.0 | capital | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Gemma 4 26B-A4B | Q4_K_M | 1 | 1 | 1/1 | 0.18 | — | — | 45.19 | 25.00 | 0.00 | 8.00 |
| 2026-06-28-product-offer-pricerunner-pi-gpt55 | product-offer-matching 0.1.0 | cluster-pricerunner-python | Apple M4 Max (128 GB) | benchpack external-agent placeholder adapter plus Pi | openai-codex/gpt-5.5 | — | 1 | 1 | 0/1 | 0.00 | — | — | 608.07 | 1.00 | — | 1.00 |
| 2026-06-28-product-offer-pricerunner-pi-gpt55 | product-offer-matching 0.1.0 | cluster-pricerunner-rust | Apple M4 Max (128 GB) | benchpack external-agent placeholder adapter plus Pi | openai-codex/gpt-5.5 | — | 1 | 1 | 0/1 | 0.00 | — | — | 1096.74 | 1.00 | — | 1.00 |
| 2026-09-01-m4-max-laguna-xs21-llamacpp-q4km | runtime-sweep 0.1.0 | long | Apple M4 Max (128 GB) | — | laguna-xs21-q4km | — | 3 | 3 | — | 1.15 | 0.02 | 113.59 | 111.76 | 802.00 | 801.00 | 128.00 |
| 2026-09-01-m4-max-laguna-xs21-llamacpp-q4km | runtime-sweep 0.1.0 | medium | Apple M4 Max (128 GB) | — | laguna-xs21-q4km | — | 3 | 3 | — | 0.69 | 0.04 | 120.35 | 113.65 | 370.00 | 365.00 | 78.00 |
| 2026-09-01-m4-max-laguna-xs21-llamacpp-q4km | runtime-sweep 0.1.0 | short | Apple M4 Max (128 GB) | — | laguna-xs21-q4km | — | 3 | 3 | — | 0.58 | 0.04 | 121.24 | 113.70 | 97.00 | 92.00 | 66.00 |
| 2026-09-01-m4-max-qwen38-27b-llamacpp-q4km | runtime-sweep 0.1.0 | long | Apple M4 Max (128 GB) | — | Qwen3.8 27B | — | 3 | 3 | — | 6.11 | 0.13 | 21.41 | 20.94 | 806.00 | 802.00 | 128.00 |
| 2026-09-01-m4-max-qwen38-27b-llamacpp-q4km | runtime-sweep 0.1.0 | medium | Apple M4 Max (128 GB) | — | Qwen3.8 27B | — | 3 | 3 | — | 6.10 | 0.13 | 21.46 | 20.99 | 364.00 | 360.00 | 128.00 |
| 2026-09-01-m4-max-qwen38-27b-llamacpp-q4km | runtime-sweep 0.1.0 | short | Apple M4 Max (128 GB) | — | Qwen3.8 27B | — | 3 | 3 | — | 5.17 | 0.13 | 21.35 | 20.69 | 87.00 | 83.00 | 107.00 |
| 2026-09-01-m4-max-qwen38-27b-mlx-4bit | runtime-sweep 0.1.0 | long | Apple M4 Max (128 GB) | — | Qwen3.8 27B | — | 3 | 3 | — | 5.14 | 0.19 | 25.90 | 24.90 | 806.00 | 805.00 | 128.00 |
| 2026-09-01-m4-max-qwen38-27b-mlx-4bit | runtime-sweep 0.1.0 | medium | Apple M4 Max (128 GB) | — | Qwen3.8 27B | — | 3 | 3 | — | 5.09 | 0.19 | 26.09 | 25.12 | 364.00 | 363.00 | 128.00 |
| 2026-09-01-m4-max-qwen38-27b-mlx-4bit | runtime-sweep 0.1.0 | short | Apple M4 Max (128 GB) | — | Qwen3.8 27B | — | 3 | 3 | — | 4.31 | 0.19 | 26.50 | 25.32 | 87.00 | 86.00 | 109.00 |
| 2026-09-01-m5-max-laguna-xs21-llamacpp-q4km | runtime-sweep 0.1.0 | long | Apple M5 Max (64 GB) | — | laguna-xs21-q4km | — | 3 | 3 | — | 1.22 | 0.02 | 107.03 | 105.17 | 802.00 | 801.00 | 128.00 |
| 2026-09-01-m5-max-laguna-xs21-llamacpp-q4km | runtime-sweep 0.1.0 | medium | Apple M5 Max (64 GB) | — | laguna-xs21-q4km | — | 3 | 3 | — | 1.11 | — | — | 115.01 | 370.00 | 365.00 | 128.00 |
| 2026-09-01-m5-max-laguna-xs21-llamacpp-q4km | runtime-sweep 0.1.0 | short | Apple M5 Max (64 GB) | — | laguna-xs21-q4km | — | 3 | 3 | — | 0.99 | — | — | 129.29 | 97.00 | 92.00 | 128.00 |
| 2026-09-01-m5-max-laguna-xs21-llamacpp-q4km-rerun | runtime-sweep 0.1.0 | long | Apple M5 Max (64 GB) | — | laguna-xs21-q4km | — | 3 | 3 | — | 1.43 | 0.02 | 90.99 | 89.21 | 802.00 | 801.00 | 128.00 |
| 2026-09-01-m5-max-laguna-xs21-llamacpp-q4km-rerun | runtime-sweep 0.1.0 | medium | Apple M5 Max (64 GB) | — | laguna-xs21-q4km | — | 3 | 3 | — | 1.14 | — | — | 112.61 | 370.00 | 365.00 | 128.00 |
| 2026-09-01-m5-max-laguna-xs21-llamacpp-q4km-rerun | runtime-sweep 0.1.0 | short | Apple M5 Max (64 GB) | — | laguna-xs21-q4km | — | 3 | 3 | — | 1.02 | — | — | 125.66 | 97.00 | 92.00 | 128.00 |
| 2026-09-01-m5-max-qwen38-27b-llamacpp-q4km | runtime-sweep 0.1.0 | long | Apple M5 Max (64 GB) | — | Qwen3.8 27B | — | 3 | 3 | — | 5.67 | 0.08 | 22.92 | 22.59 | 806.00 | 802.00 | 128.00 |
| 2026-09-01-m5-max-qwen38-27b-llamacpp-q4km | runtime-sweep 0.1.0 | medium | Apple M5 Max (64 GB) | — | Qwen3.8 27B | — | 3 | 3 | — | 5.52 | 0.08 | 23.53 | 23.20 | 364.00 | 360.00 | 128.00 |
| 2026-09-01-m5-max-qwen38-27b-llamacpp-q4km | runtime-sweep 0.1.0 | short | Apple M5 Max (64 GB) | — | Qwen3.8 27B | — | 3 | 3 | — | 4.48 | 0.07 | 24.29 | 23.91 | 87.00 | 83.00 | 107.00 |
| 2026-09-01-m5-max-qwen38-27b-mlx-4bit | runtime-sweep 0.1.0 | long | Apple M5 Max (64 GB) | — | Qwen3.8 27B | — | 3 | 3 | — | 4.27 | 0.16 | 31.15 | 29.97 | 806.00 | 805.00 | 128.00 |
| 2026-09-01-m5-max-qwen38-27b-mlx-4bit | runtime-sweep 0.1.0 | medium | Apple M5 Max (64 GB) | — | Qwen3.8 27B | — | 3 | 3 | — | 4.26 | 0.16 | 31.22 | 30.04 | 364.00 | 363.00 | 128.00 |
| 2026-09-01-m5-max-qwen38-27b-mlx-4bit | runtime-sweep 0.1.0 | short | Apple M5 Max (64 GB) | — | Qwen3.8 27B | — | 3 | 3 | — | 3.62 | 0.16 | 31.67 | 30.09 | 87.00 | 86.00 | 109.00 |
| product-offer-pi-gpt55-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-python | Apple M4 Max (128 GB) | benchpack external-agent placeholder adapter plus Pi | openai-codex/gpt-5.5 | — | 1 | 1 | 1/1 | 0.00 | — | — | 655.18 | 1.00 | — | 1.00 |
| product-offer-pi-gpt55-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-rust | Apple M4 Max (128 GB) | benchpack external-agent placeholder adapter plus Pi | openai-codex/gpt-5.5 | — | 1 | 1 | 0/1 | 0.00 | — | — | 864.71 | 1.00 | — | 1.00 |
| product-offer-pi-gpt55-large-pairwise-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-python | Apple M4 Max (128 GB) | benchpack external-agent placeholder adapter plus Pi | openai-codex/gpt-5.5 | — | 1 | 1 | 0/1 | 0.00 | — | — | 551.29 | 1.00 | — | 1.00 |
| product-offer-pi-gpt55-large-pairwise-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-rust | Apple M4 Max (128 GB) | benchpack external-agent placeholder adapter plus Pi | openai-codex/gpt-5.5 | — | 1 | 1 | 0/1 | 0.00 | — | — | 1058.58 | 1.00 | — | 1.00 |
| product-offer-pi-qwen36-27b-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-python | Apple M4 Max (128 GB) | benchpack external-agent placeholder adapter plus Pi | Qwen3.6 27B | — | 1 | 1 | 0/1 | 0.00 | — | — | 564.11 | 1.00 | — | 1.00 |
| product-offer-pi-qwen36-27b-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-rust | Apple M4 Max (128 GB) | benchpack external-agent placeholder adapter plus Pi | Qwen3.6 27B | — | 1 | 1 | 0/1 | 0.00 | — | — | 832.12 | 1.00 | — | 1.00 |
| product-offer-pi-qwen36-27b-llamacpp-high-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-python | Apple M4 Max (128 GB) | — | placeholder-adapter | — | 1 | 1 | 0/1 | 0.00 | — | — | 586.87 | 1.00 | — | 1.00 |
| product-offer-pi-qwen36-27b-llamacpp-high-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-rust | Apple M4 Max (128 GB) | — | placeholder-adapter | — | 1 | 1 | 0/1 | 0.00 | — | — | 962.58 | 1.00 | — | 1.00 |
| product-offer-pi-qwen36-27b-tools-128k-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-python | Apple M4 Max (128 GB) | benchpack external-agent placeholder adapter plus Pi | Qwen3.6 27B | — | 1 | 1 | 0/1 | 0.00 | — | — | 460.65 | 1.00 | — | 1.00 |
| product-offer-pi-qwen36-27b-tools-128k-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-rust | Apple M4 Max (128 GB) | benchpack external-agent placeholder adapter plus Pi | Qwen3.6 27B | — | 1 | 1 | 0/1 | 0.00 | — | — | 817.74 | 1.00 | — | 1.00 |
| product-offer-pi-qwen36-27b-tools-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-python | Apple M4 Max (128 GB) | benchpack external-agent placeholder adapter plus Pi | Qwen3.6 27B | — | 1 | 1 | 0/1 | 0.00 | — | — | 573.90 | 1.00 | — | 1.00 |
| product-offer-pi-qwen36-27b-tools-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-rust | Apple M4 Max (128 GB) | benchpack external-agent placeholder adapter plus Pi | Qwen3.6 27B | — | 1 | 1 | 0/1 | 0.00 | — | — | 1053.32 | 1.00 | — | 1.00 |
| product-offer-pi-qwen36-llamacpp-high-large-pairwise-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-python | Apple M4 Max (128 GB) | — | Qwen3.6 27B | Q4_K_M | 1 | 1 | 0/1 | 0.00 | — | — | 739.69 | 1.00 | — | 1.00 |
| product-offer-pi-qwen36-llamacpp-high-large-pairwise-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-rust | Apple M4 Max (128 GB) | — | Qwen3.6 27B | Q4_K_M | 1 | 1 | 0/1 | 0.00 | — | — | 868.87 | 1.00 | — | 1.00 |
| product-offer-pi-qwen36-llamacpp-high-large-pairwise-python-final-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-python | Apple M4 Max (128 GB) | — | Qwen3.6 27B | Q4_K_M | 1 | 1 | 0/1 | 0.00 | — | — | 716.65 | 1.00 | — | 1.00 |
| product-offer-pi-qwen36-llamacpp-high-large-pairwise-python-rerun-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-python | Apple M4 Max (128 GB) | — | Qwen3.6 27B | Q4_K_M | 1 | 1 | 0/1 | 0.00 | — | — | 655.52 | 1.00 | — | 1.00 |
| 2026-09-02-hetzner-gex44-qwen38-27b-q4km-20260902-runtime | runtime-sweep 0.1.0 | long | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Qwen3.8 27B | Q4_K_M | 3 | 3 | — | 9.95 | 0.17 | 13.09 | 12.86 | 806.00 | 802.00 | 128.00 |
| 2026-09-02-hetzner-gex44-qwen38-27b-q4km-20260902-runtime | runtime-sweep 0.1.0 | medium | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Qwen3.8 27B | Q4_K_M | 3 | 3 | — | 9.90 | 0.17 | 13.15 | 12.92 | 364.00 | 360.00 | 128.00 |
| 2026-09-02-hetzner-gex44-qwen38-27b-q4km-20260902-runtime | runtime-sweep 0.1.0 | short | NVIDIA RTX 4000 SFF Ada Generation (20 GB VRAM) | llama-server | Qwen3.8 27B | Q4_K_M | 3 | 3 | — | 7.97 | 0.18 | 13.23 | 12.93 | 87.00 | 83.00 | 103.00 |
Case Metrics
| run | pack | case | rows | ok | prompt rows | prompt median | cached rows | cached median | prefill rows | prefill median |
|---|---|---|---|---|---|---|---|---|---|---|
| 2026-04-28-mlx-lm-runtime | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 811.00 | 0 | — | 3 | 14475.75 |
| 2026-04-28-mlx-lm-runtime | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 376.00 | 0 | — | 3 | 6245.15 |
| 2026-04-28-mlx-lm-runtime | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 104.00 | 0 | — | 3 | 1703.63 |
| 2026-04-28-mlx-lm-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 41.00 | 0 | — | 0 | — |
| 2026-04-29-llama-server-runtime | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 811.00 | 0 | — | 3 | 120958.26 |
| 2026-04-29-llama-server-runtime | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 376.00 | 0 | — | 3 | 64642.76 |
| 2026-04-29-llama-server-runtime | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 104.00 | 0 | — | 3 | 18814.73 |
| 2026-04-29-llama-server-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 41.00 | 0 | — | 0 | — |
| 2026-04-30-llama-server-desktop-django-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | 1 | 1 | 1 | 648.00 | 1 | 0.00 | 1 | 18793.21 |
| 2026-04-30-llama-server-desktop-django-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | 1 | 1 | 1 | 569.00 | 1 | 0.00 | 1 | 2074.09 |
| 2026-05-03-m4-max-llama-qwen25-05b-190636-patch | patch-from-failure 0.1.0 | fix-greeting | 1 | 1 | 1 | 199.00 | 1 | 23.00 | 0 | — |
| 2026-05-03-m4-max-llama-qwen25-05b-190636-runtime | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 811.00 | 3 | 810.00 | 3 | 116940.93 |
| 2026-05-03-m4-max-llama-qwen25-05b-190636-runtime | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 376.00 | 3 | 375.00 | 3 | 60860.30 |
| 2026-05-03-m4-max-llama-qwen25-05b-190636-runtime | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 104.00 | 3 | 103.00 | 3 | 17181.44 |
| 2026-05-03-m4-max-llama-qwen25-05b-190636-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 41.00 | 1 | 0.00 | 0 | — |
| 2026-05-03-m4-max-llama-qwen25-05b-190636-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | 1 | 1 | 1 | 648.00 | 1 | 0.00 | 1 | 10915.43 |
| 2026-05-03-m4-max-llama-qwen25-05b-190636-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | 1 | 1 | 1 | 569.00 | 1 | 0.00 | 1 | 8907.68 |
| 2026-05-03-m4-max-mlx-qwen25-05b-185824-patch | patch-from-failure 0.1.0 | fix-greeting | 1 | 1 | 1 | 199.00 | 1 | 24.00 | 0 | — |
| 2026-05-03-m4-max-mlx-qwen25-05b-185824-runtime | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 811.00 | 3 | 810.00 | 3 | 14740.91 |
| 2026-05-03-m4-max-mlx-qwen25-05b-185824-runtime | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 376.00 | 3 | 375.00 | 3 | 7108.90 |
| 2026-05-03-m4-max-mlx-qwen25-05b-185824-runtime | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 104.00 | 3 | 103.00 | 3 | 1989.65 |
| 2026-05-03-m4-max-mlx-qwen25-05b-185824-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 41.00 | 1 | 0.00 | 0 | — |
| 2026-05-03-m4-max-mlx-qwen25-05b-185824-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | 1 | 1 | 1 | 648.00 | 1 | 26.00 | 1 | 6435.77 |
| 2026-05-03-m4-max-mlx-qwen25-05b-185824-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | 1 | 1 | 1 | 569.00 | 1 | 23.00 | 1 | 5332.03 |
| 2026-05-03-m4-max-qwen3coder-184938-patch | patch-from-failure 0.1.0 | fix-greeting | 1 | 1 | 1 | 179.00 | 0 | — | 1 | 932.39 |
| 2026-05-03-m4-max-qwen3coder-184938-runtime | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 790.00 | 0 | — | 3 | 76626.80 |
| 2026-05-03-m4-max-qwen3coder-184938-runtime | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 355.00 | 0 | — | 3 | 33696.40 |
| 2026-05-03-m4-max-qwen3coder-184938-runtime | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 83.00 | 0 | — | 3 | 7975.31 |
| 2026-05-03-m4-max-qwen3coder-184938-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 20.00 | 0 | — | 1 | 52.08 |
| 2026-05-03-m4-max-qwen3coder-184938-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | 1 | 1 | 1 | 627.00 | 0 | — | 1 | 1289.58 |
| 2026-05-03-m4-max-qwen3coder-184938-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | 1 | 1 | 1 | 548.00 | 0 | — | 1 | 1191.99 |
| 2026-05-05-m4-qwen36-dense-llamacpp-154321-patch | patch-from-failure 0.1.0 | fix-greeting | 1 | 1 | 1 | 194.00 | 1 | 0.00 | 0 | — |
| 2026-05-05-m4-qwen36-dense-llamacpp-154321-runtime | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 806.00 | 3 | 802.00 | 3 | 5156.87 |
| 2026-05-05-m4-qwen36-dense-llamacpp-154321-runtime | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 364.00 | 3 | 360.00 | 3 | 2437.34 |
| 2026-05-05-m4-qwen36-dense-llamacpp-154321-runtime | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 87.00 | 3 | 83.00 | 3 | 570.36 |
| 2026-05-05-m4-qwen36-dense-llamacpp-154321-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 24.00 | 1 | 0.00 | 0 | — |
| 2026-05-05-m4-qwen36-dense-llamacpp-154321-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | 1 | 1 | 1 | 657.00 | 1 | 0.00 | 1 | 218.57 |
| 2026-05-05-m4-qwen36-dense-llamacpp-154321-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | 1 | 1 | 1 | 579.00 | 1 | 0.00 | 1 | 222.64 |
| 2026-05-05-m4-qwen36-dense-llamacpp-smoke-154255 | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 24.00 | 1 | 0.00 | 0 | — |
| 2026-05-05-m4-qwen36-dense-mlx-155943-patch | patch-from-failure 0.1.0 | fix-greeting | 1 | 1 | 1 | 194.00 | 1 | 0.00 | 0 | — |
| 2026-05-05-m4-qwen36-dense-mlx-155943-runtime | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 806.00 | 3 | 805.00 | 3 | 4493.64 |
| 2026-05-05-m4-qwen36-dense-mlx-155943-runtime | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 364.00 | 3 | 363.00 | 3 | 2036.54 |
| 2026-05-05-m4-qwen36-dense-mlx-155943-runtime | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 87.00 | 3 | 86.00 | 3 | 491.91 |
| 2026-05-05-m4-qwen36-dense-mlx-155943-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 24.00 | 1 | 23.00 | 0 | — |
| 2026-05-05-m4-qwen36-dense-mlx-155943-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | 1 | 1 | 1 | 657.00 | 1 | 0.00 | 1 | 229.75 |
| 2026-05-05-m4-qwen36-dense-mlx-155943-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | 1 | 1 | 1 | 579.00 | 1 | 0.00 | 1 | 231.51 |
| 2026-05-05-m4-qwen36-dense-mlx-smoke-155916 | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 24.00 | 1 | 0.00 | 0 | — |
| 2026-05-05-m4-qwen36-dense-ollama-155051-patch | patch-from-failure 0.1.0 | fix-greeting | 1 | 1 | 1 | 183.00 | 0 | — | 1 | 180.88 |
| 2026-05-05-m4-qwen36-dense-ollama-155051-runtime | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 795.00 | 0 | — | 3 | 549.94 |
| 2026-05-05-m4-qwen36-dense-ollama-155051-runtime | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 353.00 | 0 | — | 3 | 191.22 |
| 2026-05-05-m4-qwen36-dense-ollama-155051-runtime | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 76.00 | 0 | — | 3 | 138.13 |
| 2026-05-05-m4-qwen36-dense-ollama-155051-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 12.00 | 0 | — | 1 | 44.51 |
| 2026-05-05-m4-qwen36-dense-ollama-155051-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | 1 | 1 | 1 | 646.00 | 0 | — | 1 | 195.23 |
| 2026-05-05-m4-qwen36-dense-ollama-155051-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | 1 | 1 | 1 | 568.00 | 0 | — | 1 | 202.14 |
| 2026-05-05-m4-qwen36-dense-ollama-smoke-154808 | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 12.00 | 0 | — | 1 | 18.23 |
| 2026-05-05-m4-qwen36-moe-llamacpp-153657-patch | patch-from-failure 0.1.0 | fix-greeting | 1 | 1 | 1 | 194.00 | 1 | 0.00 | 0 | — |
| 2026-05-05-m4-qwen36-moe-llamacpp-153657-runtime | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 806.00 | 3 | 802.00 | 3 | 21799.00 |
| 2026-05-05-m4-qwen36-moe-llamacpp-153657-runtime | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 364.00 | 3 | 360.00 | 3 | 10168.98 |
| 2026-05-05-m4-qwen36-moe-llamacpp-153657-runtime | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 87.00 | 3 | 83.00 | 3 | 1983.44 |
| 2026-05-05-m4-qwen36-moe-llamacpp-153657-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 24.00 | 1 | 0.00 | 0 | — |
| 2026-05-05-m4-qwen36-moe-llamacpp-153657-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | 1 | 1 | 1 | 657.00 | 1 | 0.00 | 1 | 1123.31 |
| 2026-05-05-m4-qwen36-moe-llamacpp-153657-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | 1 | 1 | 1 | 579.00 | 1 | 0.00 | 1 | 1062.68 |
| 2026-05-05-m4-qwen36-moe-llamacpp-reasonoff-smoke-153634 | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 24.00 | 1 | 0.00 | 0 | — |
| 2026-05-05-m4-qwen36-moe-llamacpp-smoke-153159 | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 22.00 | 1 | 0.00 | 0 | — |
| 2026-05-05-m4-qwen36-moe-mlx-155645-patch | patch-from-failure 0.1.0 | fix-greeting | 1 | 1 | 1 | 194.00 | 1 | 0.00 | 0 | — |
| 2026-05-05-m4-qwen36-moe-mlx-155645-runtime | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 806.00 | 3 | 805.00 | 3 | 6118.59 |
| 2026-05-05-m4-qwen36-moe-mlx-155645-runtime | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 364.00 | 3 | 363.00 | 3 | 2832.95 |
| 2026-05-05-m4-qwen36-moe-mlx-155645-runtime | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 87.00 | 3 | 86.00 | 3 | 696.58 |
| 2026-05-05-m4-qwen36-moe-mlx-155645-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 24.00 | 1 | 23.00 | 0 | — |
| 2026-05-05-m4-qwen36-moe-mlx-155645-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | 1 | 1 | 1 | 657.00 | 1 | 0.00 | 1 | 1170.50 |
| 2026-05-05-m4-qwen36-moe-mlx-155645-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | 1 | 1 | 1 | 579.00 | 1 | 0.00 | 1 | 1050.42 |
| 2026-05-05-m4-qwen36-moe-mlx-smoke-155619 | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 24.00 | 1 | 0.00 | 0 | — |
| 2026-05-05-m4-qwen36-moe-ollama-154846-patch | patch-from-failure 0.1.0 | fix-greeting | 1 | 1 | 1 | 183.00 | 0 | — | 1 | 670.11 |
| 2026-05-05-m4-qwen36-moe-ollama-154846-runtime | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 795.00 | 0 | — | 3 | 2288.59 |
| 2026-05-05-m4-qwen36-moe-ollama-154846-runtime | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 353.00 | 0 | — | 3 | 862.50 |
| 2026-05-05-m4-qwen36-moe-ollama-154846-runtime | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 76.00 | 0 | — | 3 | 415.95 |
| 2026-05-05-m4-qwen36-moe-ollama-154846-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 0 | — | 0 | — | 0 | — |
| 2026-05-05-m4-qwen36-moe-ollama-154846-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | 1 | 1 | 1 | 646.00 | 0 | — | 1 | 868.31 |
| 2026-05-05-m4-qwen36-moe-ollama-154846-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | 1 | 1 | 1 | 568.00 | 0 | — | 1 | 829.47 |
| 2026-05-05-m4-qwen36-moe-ollama-smoke-154747 | smoke-chat 0.1.0 | capital | 1 | 1 | 0 | — | 0 | — | 0 | — |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1058-patch | patch-from-failure 0.1.0 | fix-greeting | 1 | 1 | 1 | 191.00 | 1 | 4.00 | 0 | — |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1058-runtime | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 799.00 | 3 | 798.00 | 3 | 70476.94 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1058-runtime | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 356.00 | 3 | 351.00 | 3 | 14817.46 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1058-runtime | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 84.00 | 3 | 79.00 | 3 | 3683.39 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1058-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 21.00 | 1 | 0.00 | 0 | — |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1058-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | 1 | 1 | 1 | 677.00 | 1 | 6.00 | 1 | 2498.04 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1058-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | 1 | 1 | 1 | 596.00 | 1 | 6.00 | 1 | 2305.09 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1116-patch | patch-from-failure 0.1.0 | fix-greeting | 1 | 1 | 1 | 191.00 | 1 | 4.00 | 0 | — |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1116-runtime | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 799.00 | 3 | 798.00 | 3 | 70594.47 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1116-runtime | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 356.00 | 3 | 351.00 | 3 | 14678.95 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1116-runtime | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 84.00 | 3 | 79.00 | 3 | 3680.53 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1116-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 21.00 | 1 | 0.00 | 0 | — |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1116-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | 1 | 1 | 1 | 677.00 | 1 | 6.00 | 1 | 2496.94 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-4pack-20260507-1116-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | 1 | 1 | 1 | 596.00 | 1 | 6.00 | 1 | 2309.08 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-runtime-20260507-103928 | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 799.00 | 3 | 798.00 | 3 | 57450.16 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-runtime-20260507-103928 | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 356.00 | 3 | 351.00 | 3 | 13811.25 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-runtime-20260507-103928 | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 84.00 | 3 | 79.00 | 3 | 3430.95 |
| 2026-05-07-m4-max-gemma4-llama-reasoning-off-smoke-20260507-103856 | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 21.00 | 1 | 0.00 | 0 | — |
| 2026-05-09-m4-max-codex-oss-direct-edit-20260509-162514-dashboard-regression-external-agent | django-dashboard-regression-fix-external-agent 0.1.1 | fix-dashboard-regressions | 1 | 1 | 1 | 1468.00 | 0 | — | 1 | 1321.70 |
| 2026-05-09-m4-max-codex-oss-direct-edit-20260509-162514-patch-external-agent | patch-from-failure-external-agent 0.1.1 | fix-greeting | 1 | 1 | 1 | 346.00 | 0 | — | 1 | 1078.93 |
| 2026-05-09-m4-max-codex-oss-direct-edit-20260509-162514-python-regression-external-agent | python-regression-fix-external-agent 0.1.1 | fix-task-summary | 1 | 1 | 1 | 957.00 | 0 | — | 1 | 1352.95 |
| 2026-05-09-m4-max-qwen36-27b-llamacpp-strict-preflight-20260509-220411-endpoint-correctness | endpoint-python-correctness 0.2.0 | fix-inventory-aggregation | 1 | 1 | 1 | 962.00 | 1 | 0.00 | 0 | — |
| 2026-05-09-m4-max-qwen36-27b-llamacpp-strict-preflight-20260509-220411-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 24.00 | 1 | 0.00 | 0 | — |
| 2026-05-10-m4-max-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-patch | patch-from-failure 0.1.0 | fix-greeting | 1 | 1 | 1 | 363.00 | 1 | 0.00 | 0 | — |
| 2026-05-10-m4-max-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-runtime | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 806.00 | 3 | 802.00 | 3 | 5304.76 |
| 2026-05-10-m4-max-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-runtime | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 364.00 | 3 | 360.00 | 3 | 2418.51 |
| 2026-05-10-m4-max-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-runtime | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 87.00 | 3 | 83.00 | 3 | 583.75 |
| 2026-05-10-m4-max-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 24.00 | 1 | 0.00 | 0 | — |
| 2026-05-10-m4-max-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | 1 | 1 | 1 | 657.00 | 1 | 0.00 | 1 | 222.52 |
| 2026-05-10-m4-max-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | 1 | 1 | 1 | 579.00 | 1 | 0.00 | 1 | 226.07 |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-patch | patch-from-failure 0.1.0 | fix-greeting | 1 | 1 | 1 | 373.00 | 1 | 4.00 | 0 | — |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-runtime | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 803.00 | 3 | 798.00 | 3 | 18378.28 |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-runtime | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 360.00 | 3 | 355.00 | 3 | 9084.58 |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-runtime | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 88.00 | 3 | 83.00 | 3 | 2310.64 |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 25.00 | 1 | 0.00 | 0 | — |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | 1 | 1 | 1 | 681.00 | 1 | 6.00 | 1 | 1187.03 |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | 1 | 1 | 1 | 600.00 | 1 | 6.00 | 1 | 1121.19 |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-endpoint-correctness | endpoint-python-correctness 0.2.0 | fix-inventory-aggregation | 1 | 1 | 1 | 1029.00 | 1 | 4.00 | 0 | — |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-runtime | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 803.00 | 3 | 798.00 | 3 | 17985.88 |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-runtime | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 360.00 | 3 | 355.00 | 3 | 8795.53 |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-runtime | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 88.00 | 3 | 83.00 | 3 | 2285.61 |
| 2026-05-12-m4-max-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 25.00 | 1 | 0.00 | 0 | — |
| 2026-05-07-hetzner-gex44-gemma4-llama-strict-gguf-20260507-154814-runtime | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 799.00 | 3 | 798.00 | 3 | 57586.96 |
| 2026-05-07-hetzner-gex44-gemma4-llama-strict-gguf-20260507-154814-runtime | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 356.00 | 3 | 351.00 | 3 | 15482.70 |
| 2026-05-07-hetzner-gex44-gemma4-llama-strict-gguf-20260507-154814-runtime | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 84.00 | 3 | 79.00 | 3 | 4002.76 |
| 2026-05-07-hetzner-gex44-gemma4-llama-strict-gguf-20260507-154814-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 21.00 | 1 | 0.00 | 0 | — |
| 2026-05-07-hetzner-gex44-gemma4-llama-strict-gguf-20260507-161956-patch | patch-from-failure 0.1.0 | fix-greeting | 1 | 1 | 1 | 191.00 | 1 | 4.00 | 0 | — |
| 2026-05-07-hetzner-gex44-gemma4-llama-strict-gguf-20260507-161956-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | 1 | 1 | 1 | 677.00 | 1 | 6.00 | 1 | 6065.93 |
| 2026-05-07-hetzner-gex44-gemma4-llama-strict-gguf-20260507-161956-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | 1 | 1 | 1 | 596.00 | 1 | 0.00 | 1 | 3107.86 |
| 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-patch | patch-from-failure 0.1.0 | fix-greeting | 1 | 1 | 1 | 363.00 | 1 | 0.00 | 0 | — |
| 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-runtime | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 806.00 | 3 | 802.00 | 3 | 6568.55 |
| 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-runtime | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 364.00 | 3 | 360.00 | 3 | 3086.33 |
| 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-runtime | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 87.00 | 3 | 83.00 | 3 | 698.38 |
| 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 24.00 | 1 | 0.00 | 0 | — |
| 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | 1 | 1 | 1 | 657.00 | 1 | 0.00 | 1 | 478.24 |
| 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-fourpack-20260510-131758-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | 1 | 1 | 1 | 579.00 | 1 | 0.00 | 1 | 471.27 |
| 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-preflight-20260509-234711-endpoint-correctness | endpoint-python-correctness 0.2.0 | fix-inventory-aggregation | 1 | 1 | 1 | 962.00 | 1 | 0.00 | 0 | — |
| 2026-05-10-hetzner-gex44-qwen36-27b-llamacpp-strict-preflight-20260509-234711-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 24.00 | 1 | 0.00 | 0 | — |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-patch | patch-from-failure 0.1.0 | fix-greeting | 1 | 1 | 1 | 373.00 | 1 | 4.00 | 0 | — |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-runtime | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 803.00 | 3 | 798.00 | 3 | 13819.58 |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-runtime | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 360.00 | 3 | 355.00 | 3 | 7791.30 |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-runtime | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 88.00 | 3 | 83.00 | 3 | 2319.63 |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 25.00 | 1 | 0.00 | 0 | — |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-wrap | desktop-django-wrap 0.1.5 | wrap-plan-context | 1 | 1 | 1 | 681.00 | 1 | 6.00 | 1 | 1483.53 |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-fourpack-20260512-wrap | desktop-django-wrap 0.1.5 | wrap-plan-small | 1 | 1 | 1 | 600.00 | 1 | 6.00 | 1 | 1264.00 |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-runtime | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 803.00 | 3 | 798.00 | 3 | 13554.75 |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-runtime | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 360.00 | 3 | 355.00 | 3 | 7570.86 |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-runtime | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 88.00 | 3 | 83.00 | 3 | 2305.02 |
| 2026-05-12-hetzner-gex44-gemma4-26b-a4b-llamacpp-strict-preflight-20260512-smoke | smoke-chat 0.1.0 | capital | 1 | 1 | 1 | 25.00 | 1 | 0.00 | 0 | — |
| 2026-06-28-product-offer-pricerunner-pi-gpt55 | product-offer-matching 0.1.0 | cluster-pricerunner-python | 1 | 1 | 1 | 1.00 | 0 | — | 0 | — |
| 2026-06-28-product-offer-pricerunner-pi-gpt55 | product-offer-matching 0.1.0 | cluster-pricerunner-rust | 1 | 1 | 1 | 1.00 | 0 | — | 0 | — |
| 2026-09-01-m4-max-laguna-xs21-llamacpp-q4km | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 802.00 | 3 | 801.00 | 3 | 46115.26 |
| 2026-09-01-m4-max-laguna-xs21-llamacpp-q4km | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 370.00 | 3 | 365.00 | 3 | 9686.93 |
| 2026-09-01-m4-max-laguna-xs21-llamacpp-q4km | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 97.00 | 3 | 92.00 | 3 | 2681.28 |
| 2026-09-01-m4-max-qwen38-27b-llamacpp-q4km | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 806.00 | 3 | 802.00 | 3 | 6042.70 |
| 2026-09-01-m4-max-qwen38-27b-llamacpp-q4km | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 364.00 | 3 | 360.00 | 3 | 2738.82 |
| 2026-09-01-m4-max-qwen38-27b-llamacpp-q4km | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 87.00 | 3 | 83.00 | 3 | 657.91 |
| 2026-09-01-m4-max-qwen38-27b-mlx-4bit | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 806.00 | 3 | 805.00 | 3 | 4149.30 |
| 2026-09-01-m4-max-qwen38-27b-mlx-4bit | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 364.00 | 3 | 363.00 | 3 | 1939.49 |
| 2026-09-01-m4-max-qwen38-27b-mlx-4bit | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 87.00 | 3 | 86.00 | 3 | 450.86 |
| 2026-09-01-m5-max-laguna-xs21-llamacpp-q4km | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 802.00 | 3 | 801.00 | 3 | 37858.61 |
| 2026-09-01-m5-max-laguna-xs21-llamacpp-q4km | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 370.00 | 3 | 365.00 | 0 | — |
| 2026-09-01-m5-max-laguna-xs21-llamacpp-q4km | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 97.00 | 3 | 92.00 | 0 | — |
| 2026-09-01-m5-max-laguna-xs21-llamacpp-q4km-rerun | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 802.00 | 3 | 801.00 | 3 | 34736.35 |
| 2026-09-01-m5-max-laguna-xs21-llamacpp-q4km-rerun | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 370.00 | 3 | 365.00 | 0 | — |
| 2026-09-01-m5-max-laguna-xs21-llamacpp-q4km-rerun | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 97.00 | 3 | 92.00 | 0 | — |
| 2026-09-01-m5-max-qwen38-27b-llamacpp-q4km | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 806.00 | 3 | 802.00 | 3 | 9736.99 |
| 2026-09-01-m5-max-qwen38-27b-llamacpp-q4km | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 364.00 | 3 | 360.00 | 3 | 4710.69 |
| 2026-09-01-m5-max-qwen38-27b-llamacpp-q4km | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 87.00 | 3 | 83.00 | 3 | 1209.38 |
| 2026-09-01-m5-max-qwen38-27b-mlx-4bit | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 806.00 | 3 | 805.00 | 3 | 4925.74 |
| 2026-09-01-m5-max-qwen38-27b-mlx-4bit | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 364.00 | 3 | 363.00 | 3 | 2239.04 |
| 2026-09-01-m5-max-qwen38-27b-mlx-4bit | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 87.00 | 3 | 86.00 | 3 | 529.40 |
| product-offer-pi-gpt55-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-python | 1 | 1 | 1 | 1.00 | 0 | — | 0 | — |
| product-offer-pi-gpt55-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-rust | 1 | 1 | 1 | 1.00 | 0 | — | 0 | — |
| product-offer-pi-gpt55-large-pairwise-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-python | 1 | 1 | 1 | 1.00 | 0 | — | 0 | — |
| product-offer-pi-gpt55-large-pairwise-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-rust | 1 | 1 | 1 | 1.00 | 0 | — | 0 | — |
| product-offer-pi-qwen36-27b-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-python | 1 | 1 | 1 | 1.00 | 0 | — | 0 | — |
| product-offer-pi-qwen36-27b-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-rust | 1 | 1 | 1 | 1.00 | 0 | — | 0 | — |
| product-offer-pi-qwen36-27b-llamacpp-high-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-python | 1 | 1 | 1 | 1.00 | 0 | — | 0 | — |
| product-offer-pi-qwen36-27b-llamacpp-high-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-rust | 1 | 1 | 1 | 1.00 | 0 | — | 0 | — |
| product-offer-pi-qwen36-27b-tools-128k-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-python | 1 | 1 | 1 | 1.00 | 0 | — | 0 | — |
| product-offer-pi-qwen36-27b-tools-128k-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-rust | 1 | 1 | 1 | 1.00 | 0 | — | 0 | — |
| product-offer-pi-qwen36-27b-tools-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-python | 1 | 1 | 1 | 1.00 | 0 | — | 0 | — |
| product-offer-pi-qwen36-27b-tools-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-rust | 1 | 1 | 1 | 1.00 | 0 | — | 0 | — |
| product-offer-pi-qwen36-llamacpp-high-large-pairwise-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-python | 1 | 1 | 1 | 1.00 | 0 | — | 0 | — |
| product-offer-pi-qwen36-llamacpp-high-large-pairwise-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-rust | 1 | 1 | 1 | 1.00 | 0 | — | 0 | — |
| product-offer-pi-qwen36-llamacpp-high-large-pairwise-python-final-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-python | 1 | 1 | 1 | 1.00 | 0 | — | 0 | — |
| product-offer-pi-qwen36-llamacpp-high-large-pairwise-python-rerun-20260627 | product-offer-matching 0.1.0 | pairwise-real-small-python | 1 | 1 | 1 | 1.00 | 0 | — | 0 | — |
| 2026-09-02-hetzner-gex44-qwen38-27b-q4km-20260902-runtime | runtime-sweep 0.1.0 | long | 3 | 3 | 3 | 806.00 | 3 | 802.00 | 3 | 4644.84 |
| 2026-09-02-hetzner-gex44-qwen38-27b-q4km-20260902-runtime | runtime-sweep 0.1.0 | medium | 3 | 3 | 3 | 364.00 | 3 | 360.00 | 3 | 2160.59 |
| 2026-09-02-hetzner-gex44-qwen38-27b-q4km-20260902-runtime | runtime-sweep 0.1.0 | short | 3 | 3 | 3 | 87.00 | 3 | 83.00 | 3 | 483.88 |
Agent Wrap One-Shot Runs
The Outcome column is the recorded benchmark result; Node tests and smoke are supporting verification checks.
This curated agent-workflow dataset has no host facet. For local-runtime prompt-pack results, select Comparison Matrix and the desktop-django-wrap pack.
| outcome | model | harness/provider | thinking | time | files | insertions | deletions | node tests | smoke | target | artifact | notes |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PASS | GPT-6.1 Sol | Pi / OpenAI subscription / established full-access | thinking low, established full-access | 359.90s 6m00s agent | 37 | 8333 | 141 | 54 | health 200; root 302 → resume 200 | django-resume 0.3.0/main | results/agent-wrap-oneshot/gpt61sol-pi-openai-sub-low-20261003/ | notesFresh Pi0.99.2 established-full-access; OpenAI ChatGPT subscription OAuth provider openai, not paid API/OpenRouter. One sample, no ranking claim. Agent 359.9s, full 369.246124s; verifier not separately timed. Input including cache/cached/output 914801/868992/6295; native Pi uncached input 45809, cache is input subset. Prior zero-token openai-codex auth failure remains separate infrastructure-invalid, not a model FAIL. Effort from explicit argv/provider mapping; native JSON does not expose server effort. Provenance and clean logs: results/agent-wrap-oneshot/gpt61sol-pi-openai-sub-low-20261003/provenance.json. |
| PASS | GPT-5.6 Sol | Pi / OpenAI Codex | thinking off, neutral runner | 362.90s 6m03s | 36 | 6100 | 144 | 39 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/gpt56sol-pi-django-resume-030-off/ | notesNew fastest row in the dataset: 362.9s beats GPT-5.5 via Pi thinking off (431.7s) by 16%. Pi 0.84.4 through the built-in openai-codex provider, model gpt-5.6-sol, thinking off, --pi-mode json (JSON transcript kept for forensics; the GPT-5.5 Pi cell used text mode). 38 turns and 68 tool calls (27 read, 21 bash, 14 write, 6 edit). Smallest diff of the 2026-09-01/02 cells (36 files, +6100/-144) with the leanest Django side (89-line base_settings.py, 46-line middleware.py); 39 model-authored Node tests against 53 for GPT-5.5 Pi off. Verified its own dev smoke and redirect chain but did not boot its own packaged smoke; the verifier's independent packaged smoke passed. D-040 override in effect, empty dist/, no workaround. Host caveat: another session's Flash-Next llama-server was resident (13-14% free memory) and generating for its own qwen38-flashnext-pi-llamacpp-128k-medium-rerun2 wrap cell at 74-107% CPU throughout, 1-minute load average 3-19, so the wall time is an upper bound. |
| PASS | GPT-5.6 Sol | Codex CLI / yolo | reasoning low, neutral runner | 362.90s 6m03s | 37 | 8199 | 141 | 53 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/gpt56sol-codex-yolo-django-resume-030-low/ | notesPassed at 362.9s, tying the GPT-5.6 Sol Pi thinking-off cell to the tenth of a second for fastest row in the dataset, 17% faster than the GPT-5.5 Codex low rerun (438.3s), and passing on the first attempt where GPT-5.5 low had failed once (491.9s) before its rerun. 53 model-authored Node tests, the same count as every GPT-5.5 Codex cell; 37 files, +8199/-141, with a compact Django side (62-line base_settings.py, 41-line desktop.py) and no packaging CI workflow, which it called optional for the wrapping scope. Codex CLI 0.151.0, model id gpt-5.6-sol, model_reasoning_effort=low set explicitly. Verified its own dev smoke, redirect chain, token probes, and packaged settings; did not boot its own packaged smoke; the verifier's independent packaged smoke passed. D-040 override in effect, empty dist/, no workaround. Host caveat: another session's Flash-Next llama-server was resident (13-14% free memory) and generating for its own qwen38-flashnext-pi-llamacpp-128k-medium-rerun2 wrap cell at roughly 70-80% CPU for most of the cell, 1-minute load average 8-21, so the wall time is an upper bound. |
| PASS | GPT-5.5 | Pi / OpenAI Codex | thinking off, neutral runner | 431.70s 7m12s | 35 | 7767 | 140 | 53 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/gpt55-pi-django-resume-030-off/ | notesFresh Pi/off retry completed normally and passed packaged smoke; fastest current-target pass. |
| PASS | GPT-5.5 | Codex CLI / yolo | reasoning low, neutral rerun | 438.30s 7m18s | 37 | 8179 | 0 | 53 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/gpt55-codex-yolo-django-resume-030-low-rerun1/ | notesFresh Codex low rerun passed packaged smoke; fastest direct Codex CLI current-target pass. |
| PASS | GPT-6.1 Sol | Codex CLI / established full-access | reasoning low, established full-access | 473.30s 7m53s agent | 42 | 8624 | 140 | 54 | health 200; root 302 → resume 200 | django-resume 0.3.0/main | results/agent-wrap-oneshot/gpt61sol-established-low-20261003/ | notesFresh established-full-access profile; one sample, no ranking claim. Registry time is agent 473.3s, not full runner 482.252439s; verifier not separately timed. ChatGPT subscription, Codex 0.160.0. Native input/cached/output 1658709/1580416/11583; cached is subset of input. Earlier confined/blocked/supplemental records remain separate. Exact provenance and clean logs: results/agent-wrap-oneshot/gpt61sol-established-low-20261003/provenance.json. |
| PASS | Claude Opus 5 | Claude Code / yolo | effort low, neutral runner | 535.20s 8m55s | 36 | 6917 | 139 | 41 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/opus5-claude-yolo-django-resume-030-low/ | notesPassed at 535.2s, 49% faster than Opus 4.8 low (1053.0s) and the fastest direct Claude Code/yolo row so far, ahead of Fable 5.1 medium (737.5s). Explicit model id claude-opus-5 on Claude Code 2.1.257 with the D-040 Electron override in effect. 41 model-authored Node tests (Opus 4.8 low: 53). Authored a Go menu for back/forward/overview navigation and an app-data-copy desktop dev mode because example/db.sqlite3 is tracked; deliberately added no packaging CI workflow and said so in its docs. Did not boot its own packaged smoke; the verifier's independent packaged smoke passed. The first launch at 23:13 hit the Claude account session limit after 188.6s with 28 files changed and was discarded as infrastructure noise; this row is the forced retry launched 00:57. Host: the first ~3 minutes ran on a quiet host (80% free memory); from 01:00 another session's Flash-Next llama-server was resident again (10-11% free memory) and generating for its own wrap cell at 80-180% CPU, with the 1-minute load average reaching 101 as this cell finished, so the wall time is still an upper bound. |
| PASS | DeepSeek V4.1 Flash | Pi / OpenRouter | thinking low, neutral runner | 560.00s 9m20s | 33 | 7009 | 139 | 40 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/deepseek-v41-flash-pi-openrouter-django-resume-030-low/ | notesFastest cell of the 2026-09-10 DeepSeek V4.1 Flash Pi/OpenRouter campaign at 560.0s, with 28,303 reasoning tokens and the cheapest spend of the four ($0.1838). 57 turns, 78 tool calls (51 bash, 14 write, 8 edit, 5 read), 18.0 MB transcript. 40 model-authored Node tests. Self-verified with three `just desktop-dev-smoke` runs and two `npm --prefix electron test` runs; did not boot its own packaged smoke, which the verifier then passed. |
| PASS | DeepSeek V4.1 Flash | Pi / OpenRouter | thinking high, neutral runner | 576.00s 9m36s | 34 | 7576 | 138 | 53 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/deepseek-v41-flash-pi-openrouter-django-resume-030-high/ | notesSecond-fastest DeepSeek V4.1 Flash cell of the 2026-09-10 Pi/OpenRouter campaign at 576.0s, with the most reasoning of the four (34,487 tokens) and 53 Node tests. 75 turns, 95 tool calls (76 bash, 14 write, 4 edit, 1 read), 21.1 MB transcript, $0.1986. Three dev smokes and two Node test runs; the verifier's independent packaged smoke passed. |
| PASS | GPT-5.6 Sol | Codex CLI / yolo | reasoning medium, neutral runner | 595.70s 9m56s | 39 | 8417 | 142 | 53 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/gpt56sol-codex-yolo-django-resume-030-medium/ | notesFirst GPT-5.6 Sol Codex CLI cell. Passed at 595.7s, 20% faster than GPT-5.5 Codex medium (741.9s) with a comparable diff (39 files, +8417/-142 vs +7401/-140) and 53 model-authored Node tests (GPT-5.5 medium: 55) plus 4 new Django tests in tests/desktop_runtime_test.py. Codex CLI 0.151.0, model id gpt-5.6-sol, model_reasoning_effort=medium set explicitly on the command line (the host's ~/.codex/config.toml default is high). Verified its own dev smoke, redirect chain, token behaviour, and packaged settings through the test client; did not boot its own packaged smoke; the verifier's independent packaged smoke passed. D-040 override in effect, empty dist/, no workaround. Host caveat: another session's Flash-Next llama-server was resident (13-14% free memory) and generating for its own qwen38-flashnext-pi-llamacpp-128k-medium-rerun2 wrap cell at 74-107% CPU throughout, 1-minute load average 3-21, so the wall time is an upper bound. |
| PASS | Claude Opus 4.8 | Pi / OpenRouter | off | 612.40s 10m12s | 36 | 7513 | 135 | 53 | HTTP ok | django-resume 0.3.0/main | desktop-django-starter/.bench-qwen36/results-oneshot-opus48-openrouter-main-off/ | notesFastest Opus 4.8 current-target pass; highest approximate OpenRouter cost among successful hosted rows. |
| PASS | GPT-5.6 Sol | Codex CLI / yolo | reasoning high, neutral runner | 635.90s 10m36s | 43 | 8532 | 141 | 54 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/gpt56sol-codex-yolo-django-resume-030-high/ | notesCompletes the GPT-5.6 Sol Codex sweep at 3 for 3 (low 362.9s, medium 595.7s, high 635.9s), 18% faster than GPT-5.5 Codex high (776.2s). 54 model-authored Node tests (GPT-5.5 high: 53) and the largest GPT-5.6 Sol diff (43 files, +8532/-141): a 177-line cross-platform packaging workflow with checksum publishing, a docs/dev/desktop.txt guide, and a Sphinx build run with warnings treated as errors. Codex CLI 0.151.0, model id gpt-5.6-sol, model_reasoning_effort=high set explicitly. Verified its own dev smoke, redirect chain, edit view, token probes, packaged static serving, and both media-bootstrap probes; did not boot its own packaged smoke; the verifier's independent packaged smoke passed. D-040 override in effect, empty dist/, no workaround. Host caveat: another session's Flash-Next llama-server was resident (14-18% free memory) and generating intermittently for its own qwen38-flashnext-pi-llamacpp-128k-medium-rerun2 wrap cell at 0-122% CPU, 1-minute load average 3-16, so the wall time is an upper bound. |
| PASS | GPT-6 Astra | Pi / OpenAI subscription / established full-access | thinking medium, established full-access | 667.50s 11m08s agent | 41 | 7944 | 140 | 54 | health 200; root 302 → resume 200 | django-resume 0.3.0/main | results/agent-wrap-oneshot/gpt6astra-pi-openai-sub-medium-20261003/ | notesFresh Pi0.99.2 established-full-access; OpenAI ChatGPT subscription OAuth provider openai, not paid API/OpenRouter. One sample, no ranking claim. Agent 667.5s, full 674.916760s; verifier not separately timed. Input including cache/cached/output 1970456/1899776/11857; native Pi uncached input 70680, cache is input subset. Prior zero-token openai-codex auth failure remains separate infrastructure-invalid, not a model FAIL. Effort from explicit argv/provider mapping; native JSON does not expose server effort. Provenance and clean logs: results/agent-wrap-oneshot/gpt6astra-pi-openai-sub-medium-20261003/provenance.json. |
| PASS | GPT-5.5 | Codex CLI / yolo | reasoning low | 669.90s 11m10s | 39 | 8385 | 137 | 53 | HTTP ok | django-resume 0.3.0/main | desktop-django-starter/.bench-qwen36/results-oneshot-gpt55-codex-yolo-main-low/ | notesEarlier direct Codex low pass from the legacy artifact root; slower than the fresh Pi/off and Codex-low rerun rows. |
| PASS | GPT-5.5 | Pi / OpenAI Codex | thinking high | 701.20s 11m41s | 35 | 8049 | 143 | 53 | HTTP ok | django-resume 0.3.0/main | desktop-django-starter/.bench-qwen36/results-oneshot-gpt55-main-high/ | notesClean Pi/GPT-5.5 pass; parsed unique-turn usage estimate about $4.92. |
| PASS | Claude Fable 5.1 | Claude Code / yolo | effort low, neutral runner | 702.90s 11m43s | 40 | 7952 | 138 | 57 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/fable51-claude-yolo-django-resume-030-low/ | notesPassed at 702.9s, 33% faster than Opus 4.8 low (1053.0s) and slightly faster than Fable 5.1 medium (737.5s); slower than Opus 5 low (535.2s). Explicit model id claude-fable-5-1 on Claude Code 2.1.257. 57 model-authored Node tests plus 13 new Django tests in tests/desktop_test.py; authored a Go menu for back/forward/overview navigation and a placeholder icon set. D-040 note: unlike the other three Claude 5 cells, this one reported that electron could not start after npm install skipped Electron's postinstall and copied the 275 MB Electron 40.8.5 dist plus path.txt from the starter checkout, so it measures workaround ability alongside wrapping ability; the other cells ran on the empty dist via the ELECTRON_OVERRIDE_DIST_PATH override. It also wrote a Claude Code auto-memory note about that workaround under ~/.claude/projects/ for the target path. Did not boot its own packaged smoke; the verifier's independent packaged smoke passed. The first launch at 23:11 hit the Claude account session limit after 361.6s with 32 files changed and was discarded as infrastructure noise; this row is the forced retry launched 00:57. Host: quiet for the first ~3 minutes (80% free memory); from 01:00 another session's Flash-Next llama-server was resident again (10-12% free memory) and generating for its own wrap cell, with the 1-minute load average at 90-101 during this cell's last three minutes, so the wall time is an upper bound. |
| PASS | GPT-5.5 | Codex CLI / yolo | reasoning high | 730.20s 12m10s | 39 | 8484 | 140 | 53 | HTTP ok | django-resume 0.3.0/main | desktop-django-starter/.bench-qwen36/results-oneshot-gpt55-codex-yolo-main-high/ | notesSlightly slower than Codex low reasoning on this single pair; broader target-side docs/tests. |
| PASS | Claude Fable 5.1 | Claude Code / yolo | effort medium, neutral runner | 737.50s 12m18s | 43 | 8294 | 134 | 60 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/fable51-claude-yolo-django-resume-030-medium/ | notesFirst Claude 5-family cell on this benchmark and the fastest direct Claude Code/yolo row so far (737.5s vs Opus 4.8 medium 871.0s). Explicit model id claude-fable-5-1 on Claude Code 2.1.257 with the D-040 Electron override in effect. Authored a Go menu module (app-menu.cjs, with tests) for back/forward/overview navigation plus a Django-side tests/desktop_shell_test.py; 60 model-authored Node tests is the most of any Claude Code/yolo row. The agent skipped its own packaged smoke per the skill's unattended-run guidance; the verifier's independent packaged smoke passed. Host caveat: the first ~6.5 minutes overlapped another session's 744s sustained-generation load test against a resident ~49 GB Flash-Next llama-server (1-minute load average 159 two minutes after launch, 10-14% free memory, swap in use), and its last ~5-7 minutes overlapped the same session's qwen38-flashnext-pi-llamacpp-128k-medium-rerun1 local-model wrap cell (launched 23:06:34) generating on that server, so treat the wall time as an upper bound. |
| PASS | GPT-5.5 | Codex CLI / yolo | reasoning medium, neutral runner | 741.90s 12m22s | 39 | 7401 | 140 | 55 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/gpt55-codex-yolo-django-resume-030-medium/ | notesModerate reasoning pass; slower than low rerun and slightly faster than neutral high. |
| PASS | DeepSeek V4.1 Flash | Pi / OpenRouter | thinking medium, neutral runner | 760.20s 12m40s | 34 | 7549 | 136 | 53 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/deepseek-v41-flash-pi-openrouter-django-resume-030-medium/ | notesMiddle of the 2026-09-10 DeepSeek V4.1 Flash Pi/OpenRouter campaign at 760.2s with 30,806 reasoning tokens and 53 model-authored Node tests, matching the GPT-5.5 Pi count. 65 turns, 108 tool calls (49 read, 38 bash, 10 write, 11 edit), 17.5 MB transcript, $0.2116. The only DeepSeek cell that ran its own `smoke:packaged`; it also ran three dev smokes and three Node test runs. |
| PASS | GPT-5.5 | Codex CLI / yolo | reasoning high, neutral runner | 776.20s 12m56s | 38 | 8380 | 138 | 53 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/gpt55-codex-yolo-django-resume-030-high/ | notesFresh neutral-runner repeat. Passed packaged smoke; slower than same-session Codex low failed run. |
| PASS | Claude Opus 5 | Claude Code / yolo | effort high, neutral runner | 850.30s 14m10s | 47 | 8383 | 134 | 58 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/opus5-claude-yolo-django-resume-030-high/ | notesCompletes the Opus 5 sweep at 3 for 3. Passed at 850.3s, 25% faster than Opus 4.8 high (1131.3s) and level with Opus 5 medium (855.8s); Opus 5 low (535.2s) remains the fastest of the three. Explicit model id claude-opus-5 on Claude Code 2.1.257 with the D-040 Electron override in effect (empty dist/, no workaround). 58 model-authored Node tests (Opus 4.8 high: 33), the largest diff of the Opus 5 cells: a separate navigation.cjs module behind the Go menu, an SVG brand icon with generated icon set, a cross-platform CI workflow, and a fix for the project's missing STATICFILES_DIRS that had left example/static/css/custom.css returning 404. Did not boot its own packaged smoke; the verifier's independent packaged smoke passed. The first launch at 23:16 hit the Claude account session limit within 3.1s with no files changed and was discarded as infrastructure noise; this row is the forced retry launched 01:06 after Opus 5 low in the same lane. Host: throughout the cell another session's Flash-Next llama-server was resident (10-14% free memory) and generating for its own wrap cell at 90-145% CPU, with the 1-minute load average between 5 and 133, so the wall time is an upper bound. |
| PASS | Claude Opus 5 | Claude Code / yolo | effort medium, neutral runner | 855.80s 14m16s | 41 | 7075 | 136 | 33 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/opus5-claude-yolo-django-resume-030-medium/ | notesPassed at 855.8s, marginally faster than Opus 4.8 medium (871.0s) and 16% slower than the Fable 5.1 medium cell launched concurrently (737.5s). Explicit model id claude-opus-5 on Claude Code 2.1.257 with the D-040 Electron override in effect. 33 model-authored Node tests, fewer than Opus 4.8 medium (53) and equal to Opus 4.8 high (33). Also authored a Go menu (app-menu.cjs, with tests), staged the backend with the bundled Python 3.13 and re-ran the Django-side checks inside the stage bundle; it did not boot its own packaged smoke, and the verifier's independent packaged smoke passed. Same host caveat as the Fable 5.1 medium cell: the first ~6.5 minutes overlapped another session's 744s sustained-generation load test against a resident ~49 GB Flash-Next llama-server, and its last ~5-7 minutes overlapped the same session's qwen38-flashnext-pi-llamacpp-128k-medium-rerun1 local-model wrap cell (launched 23:06:34) generating on that server, so treat the wall time as an upper bound. |
| PASS | Claude Opus 4.8 | Claude Code / yolo | effort medium, neutral runner | 871.00s 14m31s | 34 | 7487 | 134 | 53 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/opus48-claude-yolo-django-resume-030-medium/ | notesFastest direct Claude Code/yolo row so far; first launch hit transient API 500 before retry. |
| PASS | GPT-6 Astra | Codex CLI / established full-access | reasoning medium, established full-access | 911.70s 15m12s agent | 52 | 9024 | 145 | 56 | health 200; root 302 → resume 200 | django-resume 0.3.0/main | results/agent-wrap-oneshot/gpt6astra-established-medium-20261003/ | notesFresh established-full-access profile; one sample, no ranking claim. Registry time is agent 911.7s, not full runner 919.065475s; verifier not separately timed. ChatGPT subscription, Codex 0.160.0. Native input/cached/output 2144901/2043264/20005; cached is subset of input. Earlier confined/blocked/supplemental records remain separate. Exact provenance and clean logs: results/agent-wrap-oneshot/gpt6astra-established-medium-20261003/provenance.json. |
| PASS | Claude Fable 5.1 | Claude Code / yolo | effort high, neutral runner | 935.40s 15m35s | 40 | 8415 | 132 | 58 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/fable51-claude-yolo-django-resume-030-high/ | notesCompletes the Fable 5.1 sweep at 3 for 3 (low 702.9s, medium 737.5s, high 935.4s). Slowest Claude 5 cell, yet 17% faster than Opus 4.8 high (1131.3s) and 27% faster than Sonnet 4.6 high (1276.6s); 10% slower than Opus 5 high (850.3s). Explicit model id claude-fable-5-1 on Claude Code 2.1.257 with the D-040 Electron override in effect (empty dist/, no workaround). 58 model-authored Node tests plus 19 new Django desktop tests in a 358-line tests/desktop_test.py, the most Django-side coverage of any cell; also fixed the project's missing STATICFILES_DIRS, built the Sphinx docs, and shipped no icon or CI workflow by stated choice. Wrote a Claude Code auto-memory note about the host's Electron binary environment under ~/.claude/projects/ for the target path (same rerun hazard as the Fable 5.1 low cell). Did not boot its own packaged smoke; the verifier's independent packaged smoke passed. The first launch at 23:17 hit the Claude account session limit within 3.5s with no files changed and was discarded as infrastructure noise; this row is the forced retry launched 01:08 after Fable 5.1 low in the same lane. Host: throughout the cell another session's Flash-Next llama-server was resident (10-14% free memory) and generating for its own wrap cell at ~90-125% CPU, with the 1-minute load average between 5 and 133, so the wall time is an upper bound. |
| PASS | GPT-5.5 | Pipy / openai-codex | thinking off, native tool loop | 1003.50s 16m44s | 35 | 7339 | 141 | 53 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/pipy-gpt55-django-resume-030-off/ | notesFirst Pipy native-tool-loop row; passed packaged smoke, slower than Pi/off and direct Codex rows. |
| PASS | GLM-5.2 | Pi / OpenRouter | thinking high | 1014.00s 16m54s | 27 | 6696 | 135 | 40 | HTTP ok | django-resume 0.3.0/main | desktop-django-starter/.bench-qwen36/results-oneshot-glm52-main-high/ | notesHigh thinking was faster than GLM thinking off on this single run; estimated cost about $1.51. |
| PASS | Claude Opus 4.8 | Claude Code / yolo | effort low, neutral runner | 1053.00s 17m33s | 38 | 7679 | 135 | 53 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/opus48-claude-yolo-django-resume-030-low/ | notesFirst direct Claude Code/yolo row; low effort is the closest no/low-thinking lane. |
| PASS | GLM-5.2 | Pi / OpenRouter | thinking off | 1126.40s 18m46s | 31 | 6689 | 129 | 31 | HTTP ok | django-resume 0.3.0/main | desktop-django-starter/.bench-qwen36/results-oneshot-glm52-main-off/ | notesSlow GLM pass; lowest approximate hosted cost among successful rows. |
| PASS | Claude Opus 4.8 | Claude Code / yolo | effort high, neutral runner | 1131.30s 18m51s | 34 | 6688 | 136 | 33 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/opus48-claude-yolo-django-resume-030-high/ | notesPassed, but slower than Claude Code low effort and same-session Codex high. |
| PASS | Claude Sonnet 4.6 | Claude Code / yolo | effort low, neutral runner | 1136.10s 18m56s | 35 | 7312 | 138 | 53 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/sonnet46-claude-yolo-django-resume-030-low/ | notesFastest Sonnet 4.6 row; first launch hit transient Claude 529 before retry. |
| PASS | Claude Sonnet 4.6 | Claude Code / yolo | effort high, neutral runner | 1276.60s 21m17s | 34 | 7309 | 133 | 53 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/sonnet46-claude-yolo-django-resume-030-high/ | notesPassed; slower than Sonnet low but faster than Sonnet medium. |
| PASS | DeepSeek V4.1 Flash | Pi / OpenRouter | thinking off, neutral runner | 1371.00s 22m51s | 33 | 7000 | 136 | 37 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/deepseek-v41-flash-pi-openrouter-django-resume-030-off/ | notes2026-09-10 DeepSeek V4.1 Flash Pi/OpenRouter campaign, the first DeepSeek evidence on this benchmark; all four thinking cells passed. Thinking off was the slowest cell at 1371.0s, 2.4x its own thinking-low lane, despite emitting zero reasoning tokens: 96 turns, 108 tool calls (83 bash, 14 write, 7 edit, 4 read), 13.5 MB transcript, $0.2265 OpenRouter spend. It still ran `just desktop-dev-smoke` four times and `npm --prefix electron test` five times, so the extra wall time is exploration, not unverified output. 37 model-authored Node tests, the fewest of the four; did not boot its own packaged smoke, which the verifier's independent run then passed. |
| PASS | Claude Sonnet 4.6 | Claude Code / yolo | effort medium, neutral runner | 1554.80s 25m55s | 33 | 7213 | 137 | 47 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/sonnet46-claude-yolo-django-resume-030-medium/ | notesSlowest successful current-target pass so far; fewer model-authored Node tests than low/high. |
| PASS | Qwen3.8 Flash-Next | Pi / llama.cpp local | reasoning_effort medium, set explicitly | 2488.10s 41m28s | 34 | 6814 | 136 | 34 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/qwen38-flashnext-pi-llamacpp-128k-medium/ | notesFastest local open-weight pass and the first qwen4exp (Flash-Next MoE) cell; needed a source-built llama.cpp (build 200, 774ee0e) at 131072 context with the n-gram table offloaded to CPU. Ran 3 smokes in 54 bash calls and wrote a 34-test harness. Not a controlled comparison with the 27B rows: different binary, context, quant family, and port. Two earlier attempts were terminated externally at ~29.5 min and are discarded, not recorded (D-042); this pass came from a detached relaunch. |
| PASS | Qwen3.8 Flash (Alibaba hosted) | Pi / OpenRouter (Alibaba) | reasoning.effort medium, verified in request body | 3368.70s 56m09s | 41 | 8948 | 136 | 60 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/qwen38-flash-pi-openrouter-django-resume-030-medium/ | notesHosted counterpart of the local Qwen3.8-Flash-Next lane: OpenRouter pinned to the Alibaba provider (`provider.only=[Alibaba]`, verified in the request body) with `reasoning.effort=medium`. Ran with the D-040 Electron environment exported, matching the local Flash-Next lane, so the wall time is model/serving-bound rather than Electron-recovery-bound. 176 turns and 172 tool calls (bash 123, read 11, write 30, edit 19); 137,969 output tokens including 53,521 reasoning tokens; $0.53 OpenRouter spend. 60 model-authored Node tests, the most of any Qwen cell here; self-verified and passed the verifier's independent packaged smoke (`/health/` 200, `/` 302, `/resume/` 200). Raw decode measured separately at ~49-54 tok/s versus ~30 tok/s for local Flash-Next on M4 Max. Runtime-and-format comparison, not artifact parity: hosted Alibaba Qwen3.8 Flash (1M context, snapshot 20260826) versus local unsloth UD-IQ4_XS at 131072 context. |
| PASS | Qwen3.8 27B | Pi / llama.cpp local | reasoning_effort medium, set explicitly | 3701.50s 61m42s | 36 | 8025 | 135 | 40 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/qwen38-q8-pi-llamacpp-256k-medium/ | notesQ8_0 control for the medium lane, same Homebrew server and flags as the Q4_K_M cells. Passed on its first attempt, 31 minutes faster than the Q4_K_M pass, with 8 smokes in 64 bash calls. Wrote a 40-test harness rather than the 53-test one every Q4_K_M cell produced. One observation each way: shows the pass is not an artifact of Q4_K_M, not that Q8_0 is more reliable. |
| PASS | Qwen3.8 Flash-Next | Pi / llama.cpp local | reasoning_effort medium, set explicitly | 3737.70s 62m18s | 36 | 7032 | 3 | 34 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/qwen38-flashnext-pi-llamacpp-128k-medium-rerun2/ | notesSecond replication cell for the Flash-Next pass, launched detached (D-042). Exited cleanly in 62.3 min with 34/34 tests and a served packaged app; Flash-Next at reasoning_effort=medium is 3-for-3, the first local open-weight lane whose pass replicated. 102 tool calls, 3 smoke invocations, no electron-builder call. Ran concurrently with a claude-yolo cell from another session on the same host, with free memory at 9-18% and swap up to 12.5 GB. |
| PASS | Qwen3.8 27B | Pi / llama.cpp local | reasoning_effort medium, set explicitly | 5570.00s 92m50s | 36 | 7622 | 120 | 53 | HTTP ok | django-resume 0.3.0/main | results/agent-wrap-oneshot/qwen38-pi-llamacpp-256k-medium/ | notesFirst pass by a local open-weight model on this benchmark; exited cleanly rather than timing out. Decisive variable was reasoning_effort=medium, not the model or the quant. Did not replicate: the confirmation cell qwen38-pi-llamacpp-256k-medium-rerun1 failed the packaged smoke, so the medium lane is 1-for-2. |
| PASS | Qwen3.8 Flash-Next | Pi / llama.cpp local | reasoning_effort medium, set explicitly | 7200.00s 120m00s | 38 | 7504 | 137 | 53 | HTTP ok (verified after the runner timeout) | django-resume 0.3.0/main | results/agent-wrap-oneshot/qwen38-flashnext-pi-llamacpp-128k-medium-rerun1/ | notesFirst replication cell for the Flash-Next pass, launched detached (D-042). The runner's 7200s timeout killed pi (pi_exit=124), but the verifier found a served packaged app with 53/53 tests, so the gate records PASS - the first pass at the cap in this table. About 30 of the 120 minutes went to a single `npx electron-builder --dir`, which auto-discovered the host's Developer ID identity and deep-signed the app (with its embedded Python runtime) file by file with Apple timestamping; reproduced afterwards, not a hang and not the model's doing. No earlier passing cell had invoked electron-builder. 178 tool calls, 11 smoke invocations. |
| FAIL | GPT-5.5 | Codex CLI / yolo | reasoning none, neutral runner | 471.40s 7m51s | 33 | 7377 | 0 | 53 | Smoke fail | django-resume 0.3.0/main | results/agent-wrap-oneshot/gpt55-codex-yolo-django-resume-030-none/ | notesDirect-Codex no-reasoning comparison for Pi/off; failed on Electron install integrity before HTTP checks. |
| FAIL | GPT-5.5 | Codex CLI / yolo | reasoning low, neutral runner | 491.90s 8m12s | 34 | 8141 | 2 | 53 | Smoke fail | django-resume 0.3.0/main | results/agent-wrap-oneshot/gpt55-codex-yolo-django-resume-030-low/ | notesFast agent phase, but independent smoke failed on Electron install integrity before HTTP checks. |
| FAIL | Claude Opus 4.8 | Pi / OpenRouter | thinking high | 734.30s 12m14s | 32 | 3384 | 132 | 53 | Smoke fail | django-resume 0.3.0/main | desktop-django-starter/.bench-qwen36/results-oneshot-opus48-openrouter-main-high/ | notesPackaged backend leaked a starter dependency: ModuleNotFoundError: desktop_django_starter. |
| FAIL | Laguna XS 2.1 | Pi / llama.cpp local | enable_thinking=true (binary toggle, no effort levels; normalized as high) | 1910.10s 31m50s | 178 | 40477 | 3 | 35 | smoke exit 0 with zero HTTP checks (false success) | django-resume 0.3.0/main | results/agent-wrap-oneshot/laguna-xs21-pi-llamacpp-256k-think/ | notesFirst non-Qwen local open-weight cell and first MoE cell. Fastest self-terminating run and largest diff in the table, but zero executions of its own smoke; will-quit handler hardcodes app.exit(0), so the startup failure (unstaged backend) reported success and only the verifier's app_served gate caught it. Counterfactual: one npm-script path fix stages the backend and boots Django, but the Electron shell issued no HTTP requests across two manual smokes. |
| FAIL | Laguna XS 2.1 | Pi / llama.cpp local | enable_thinking=false (binary toggle, no effort levels) | 2144.40s 35m44s | 5626 | 1140520 | 130 | 45 | verifier smoke hung to 200s cap, all HTTP counters 0 | django-resume 0.3.0/main | results/agent-wrap-oneshot/laguna-xs21-pi-llamacpp-256k-off/ | notesThinking-off A/B partner to the thinking-on cell. Behavioral flip: this lane DID self-verify - ran stage-backend, its own packaged smoke (exit 1), 45/45 node tests and 182 Django tests - but never got a green packaged smoke and declared victory anyway; the verifier smoke then hung to the 200s cap. Diff is inflated: 5,590 of 5,626 files are un-gitignored .stage/ staging output; the authored diff is ~36 files. |
| FAIL | Qwen3.8 27B | Pi / llama.cpp local | reasoning_effort medium, set explicitly | 3567.30s 59m27s | 33 | 7537 | 136 | 53 | smoke exit 1, ModuleNotFoundError example.packaged_settings | django-resume 0.3.0/main | results/agent-wrap-oneshot/qwen38-pi-llamacpp-256k-medium-rerun1/ | notesConfirmation cell for the medium-lane PASS; did not replicate. Exited cleanly in 59.5 min with 53/53 node tests, staged the backend, but Django died booting packaged mode on a settings module the staging step never ships (ModuleNotFoundError: example.packaged_settings) - the campaign's one-pathology signature: two components disagreeing about an interface on a never-executed path. |
| FAIL | Qwen3.8 27B | Pi / llama.cpp local | thinking off, chat-template kwarg | 7200.00s 120m00s | 38 | 7749 | 3 | 53 | Smoke fail | django-resume 0.3.0/main | results/agent-wrap-oneshot/qwen38-pi-llamacpp-256k-off/ | notesFirst local open-weight Qwen3.8 row; killed by the 7200s runner timeout. Staging failed because .stage/backend/src was not a Python project. No transcript captured (--pi-mode unset), see D-039. |
| FAIL | Qwen3.8 27B | Pi / llama.cpp local | thinking high | 7200.00s 120m00s | 37 | 7708 | 136 | 53 | Smoke fail | django-resume 0.3.0/main | results/agent-wrap-oneshot/qwen38-pi-llamacpp-256k-high/ | notesKilled by the 7200s runner timeout. Its own generated stage-backend.cjs threw a TypeError because it assumed fs.cpSync passes a Dirent to filter. It never ran its own packaged smoke once, and stopped editing files with 51% of the budget unspent. A post-hoc counterfactual correcting only that two-line signature made the packaged app serve, so the distance to pass was a single defect. |
| FAIL | Qwen3.8 27B | Pi / llama.cpp local | thinking off, Electron pre-warmed | 7200.00s 120m00s | 46 | 7608 | 138 | 53 | Smoke fail | django-resume 0.3.0/main | results/agent-wrap-oneshot/qwen38-pi-llamacpp-256k-off-prewarmed/ | notesFirst cell where stage-backend succeeded, clearing the step that killed runs A and B. It did attempt self-verification and deadlocked on its own invented desktop-dev-smoke target, which passes the smoke flag as an env var while its launcher reads argv; the packaged smoke separately hung because its exit is bound solely to did-finish-load with no failure path. |
| FAIL | Qwen3.8 27B | Pi / llama.cpp remote CUDA | reasoning_effort medium, set explicitly | 7200.10s 120m00s | 0 | 0 | 0 | 0 | not run; no electron/package.json produced | django-resume 0.3.0/main | results/agent-wrap-oneshot/qwen38-hetzner-pi-llamacpp-q4km-256k-medium/ | notesRTX 4000 SFF Ada Q4_K_M fit test with inference on the Hetzner GEX44 and the unchanged Pi harness, target checkout, and verifier on the M4 Studio over an SSH local forward. All 64 model layers fit on the GPU, but exact 262144 context required an 8.5 GiB q8_0 KV cache in system RAM (--no-kv-offload). The run spent the full two-hour cap reading and planning, made 56 inspection calls but no write/edit call, and left the clean target unchanged. Completed-generation decode fell from 7.50 tok/s at 2.3K context to 2.12 tok/s at 91.7K; the final canceled prompt contained 93.3K tokens. Eleven transient client connection errors automatically retried while the server remained healthy. Treat this as a split-host CUDA inference result, not a full agent-host comparison. |
| INTERRUPTED | GPT-5.5 | Pi / OpenAI Codex | thinking off | 1240.10s 20m40s | 37 | 8259 | 140 | 53 | Smoke fail | django-resume 0.3.0/main | desktop-django-starter/.bench-qwen36/results-oneshot-gpt55-main-off/ | notesStopped because raw JSON stream grew to 8.7 GB while the run remained in a self-debug loop. |
Raw Report
Open raw report.md for a portable Markdown version of the indexed benchmark results.