MLCR-AA
Synthesis of fragmented medical records spanning roughly 25k–64k tokens.
Medical reasoningWisedocs / Artificial Analysis70 models run by Artificial AnalysisUpdated 30 September 2026
How it is run
AA’s private hard subset, three repeats. Three judges must find a concise response accurate and complete by majority vote; overlong or empty answers fail.
What it cannot tell you
Synthetic records and a private hard subset. Overall pass rate differs from accuracy among judged responses.
- Leader
- Claude Sonnet 5.575.00% · Artificial Analysis results, grouped here by release
- Top-ten spread
- 31.67%Leader minus tenth place, or last place in smaller fields.
- Median
- 15.84%of the 70 rows published
- No published result
- 9of 46 models on this site
Artificial Analysis results by release
Highest published effort per model release, grouped here from AA’s public results. Grouping ranks are derived here; source settings and model-publisher reports stay separate.
| # | Model | Score | Effort |
|---|---|---|---|
| 1 | Claude Sonnet 5.5 | 75.00% | max |
| 2 | Claude Fable 5.1 | 71.11% | max |
| 3 | Claude Opus 5.5 | 66.67% | max |
| 4 | Claude Fable 5 | 64.44% | max |
| 5 | Claude Opus 5 | 55.56% | max |
| 6 | Claude Sonnet 5 | 55.00% | max |
| 7 | GLM 5.3 Flash | 51.11% | max |
| 8 | GLM-5.3 | 48.33% | max |
| 9 | Claude Opus 4.8 | 45.56% | max |
| 10 | Muse Spark 1.3 | 43.33% | max |
| 11 | Kimi K3 | 38.33% | max |
| 12 | GPT-6 Astra | 35.00% | max |
| 13 | GPT-6.1 Sol | 33.89% | max |
| 14 | GPT-5.6 Terra | 31.67% | max |
| 15 | Muse Spark 1.2 | 31.11% | xhigh |
| 16 | Claude Opus 4.7 | 28.89% | high |
| 17 | GPT-5.6 Sol | 26.11% | max |
| 18 | Claude Sonnet 4.6 | 24.44% | max |
| 19 | DeepSeek V4.1 Flash | 22.78% | max |
| 20 | Gemini 3.8 Flash | 21.67% | high |
| 20 | Qwen3.8 27B | 21.67% | xhigh |
| 22 | DeepSeek V4 Pro 0424 | 21.11% | max |
| 23 | Muse Glimmer | 20.00% | high |
| 23 | Qwen3.8 Max (0902) | 20.00% | Not specified |
| 25 | GPT-5.6 Luna | 19.44% | max |
| 25 | Qwen3.8 Max | 19.44% | Not specified |
| 27 | Gemini 3.5 Flash | 18.33% | high |
| 27 | MiMo-V2.6-Pro | 18.33% | Not specified |
| 29 | GPT-5.5 | 17.78% | xhigh |
| 29 | DeepSeek V4 Pro 0813 | 17.78% | max |
| 31 | MiniMax-M3 | 17.22% | Not specified |
| 32 | Step 5 Preview | 16.67% | Not specified |
| 33 | GPT-6 Luna | 16.11% | max |
| 33 | Kimi K2.7 Code | 16.11% | Not specified |
| 33 | GPT-6 Sol | 16.11% | max |
| 36 | Gemini 3.1 Pro Preview | 15.56% | Not specified |
| 37 | Grok 4.7 | 15.00% | xhigh |
| 37 | Grok 4.5 | 15.00% | high |
| 37 | DeepSeek V4 Flash 0420 | 15.00% | max |
| 37 | Gemini 3.7 Flash | 15.00% | high |
| 41 | Gemini 3.6 Flash | 14.44% | high |
| 42 | DeepSeek V4 Flash 0731 | 13.33% | max |
| 43 | Inkling | 12.22% | xhigh |
| 43 | Grok 4.6 | 12.22% | high |
| 45 | Gemini 3 Flash Preview | 11.67% | Not specified |
| 46 | Nemotron 3 Ultra 550B A55B | 11.11% | Not specified |
| 47 | Grok 4.3 | 10.00% | high |
| 48 | MiMo-V2.5-Pro | 9.44% | Not specified |
| 48 | Qwen3.7 Plus | 9.44% | Not specified |
| 50 | Gemini 2.5 Flash | 8.89% | Not specified |
| 51 | Gemini 3.5 Flash-Lite | 7.22% | high |
| 51 | GLM-5.2 | 7.22% | max |
| 53 | Gemini 3.1 Flash-Lite | 6.11% | high |
| 53 | Claude 4.5 Haiku | 6.11% | Not specified |
| 55 | GPT-5.4 nano | 5.00% | xhigh |
| 56 | Nova 2.0 Pro Preview | 3.89% | medium |
| 56 | GPT-5.4 mini | 3.89% | xhigh |
| 58 | MiniMax-M2.7 | 3.33% | Not specified |
| 58 | Nemotron 3 Super 120B A12B | 3.33% | Not specified |
| 60 | Llama 4 Maverick | 2.22% | Not specified |
| 60 | Gemini 2.5 Flash-Lite | 2.22% | Not specified |
| 62 | Mistral Medium 3.5 | 1.67% | high |
| 63 | Nemotron 3.5 Lightning | 1.11% | Not specified |
| 63 | gpt-oss-120b | 1.11% | high |
| 65 | Command A+ | 0.56% | Not specified |
| 65 | gpt-oss-20b | 0.56% | high |
| 65 | Solar Pro 3 | 0.56% | high |
| 68 | Nova Lite | 0.00% | Not specified |
| 68 | Qwen3.8 2.4T A95B | 0.00% | Not specified |
| 68 | GPT-4o mini | 0.00% | Not specified |
No published result tracked
9 of the 46 models on this site have no published number on this benchmark, so their cells in the home table stay blank rather than reading as zero.
Sources
Every page used for this benchmark, read on 17 October 2026.
- Benchmark site or the page that publishes itartificialanalysis.ai/evaluations/mlcr-aa
- Independent resultsartificialanalysis.ai/evaluations/mlcr-aa