Medical Long Context Reasoning (MLCR-AA, October 2026 methodology)
Professional Work
Artificial Analysis' revised MLCR-AA methodology, first published between October 19 and 21, 2026: 60 private held-out expert-tier and compound questions from Wisedocs Medical Long Context Reasoning, over synthetic records of about 25,000 to 64,000 tokens, each run three times. A response passes when a majority of three judges (Claude Opus 5.5, GPT-6.1 Sol and Grok 4.7 at medium effort) each find it complete, naming every documentation gap on the way to the ground-truth conclusion, and free of claims that contradict the record. Empty responses fail. The earlier conciseness gate is gone and AA re-scored every model, so these results are not comparable with mlcr-aa.
Top models (higher is better)
| Model | Score |
|---|---|
| Claude Sonnet 5.5 | 41.7 |
| GPT-6 Astra | 41.7 |
| GPT-6.1 Sol | 38.3 |
| Claude Haiku 5.5 | 35.0 |
| GPT-6 Sol | 33.9 |
| GPT-5.5 Instant (2026-06-25 hosted snapshot) | 31.7 |
| Qwen3.8 2.4T A95B | 30.6 |
| GPT-5.6 Sol | 30.0 |
| GPT-5.5 | 28.9 |
| Claude Opus 5.5 | 27.8 |
| GPT-5.6 Terra | 27.2 |
| GPT-6 Luna | 26.1 |
| Qwen3.8-Max | 26.1 |
| DeepSeek V4.1 Flash | 23.9 |
| Qwen3.8 27B | 22.8 |
| Kimi K3 | 21.7 |
| Grok 4.7 | 21.1 |
| Claude Fable 5 | 20.6 |
| Qwen3.8-Flash-Next | 20.6 |
| GPT-5.4 Mini | 20.0 |
| GPT-5.6 Luna | 20.0 |
| Qwen3.8 Max (0902) | 20.0 |
| Opus 4.8 | 19.4 |
| Claude Fable 5.1 | 18.3 |
| Grok 4.6 | 18.3 |
| Step 5 Preview | 18.3 |
| GLM-5.3 | 17.2 |
| GPT-5.4 Nano | 16.1 |
| Grok 4.5 | 16.1 |
| Gemini 3.8 Flash | 15.6 |
| Muse Spark 1.3 | 15.6 |
| Qwen3.7-Max (source unspecified) | 14.4 |
| Claude Opus 5 | 13.9 |
| Gemini 4 Argon | 13.9 |
| GLM-5.2 | 12.8 |
| MiMo-V2.6-Pro | 12.8 |
| Gemini 2.5 Pro | 12.2 |
| Gemini 3.7 Flash | 12.2 |
| Kimi K2.7 Code | 12.2 |
| Ling 3.1 Flash | 12.2 |