Medmarks: leaderboard

Medical model evaluations across verifiable and open-ended tasks. This card reports the verifiable weighted win rate, based on pairwise comparison points; open-ended results are a separate board.

Metric: Weighted Mean Win Rate (%). Source: medmarks.ai. Saturation forecast: Around February 2027. 89 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro (Preview)64.52#66
2GPT-5.1 (Medium)62.08#135 (GPT-5.1)
3Grok 461.59#181
4Claude Sonnet 4.560.71#142
5GPT-5.2 (Medium)60.5#110 (GPT-5.2)
6GLM-4.7 FP860.1#209
7Qwen 3.5 27B (Thinking)59.33#187 (Qwen 3.5 27B)
8Qwen 3.6 35B A3B (Thinking)59.32#226 (Qwen 3.6 35B A3B)
9Gemma 4 31B (IT)59.05#176
10Qwen 3.5 35B A3B (Thinking)58.56#256 (Qwen 3.5 35B A3B)
11Qwen 3.6 27B (Thinking)58.5#170 (Qwen 3.6 27B)
12Qwen 3 235B A22B (Thinking)58.42#313 (Qwen 3 235B A22B)
13Muse Glimmer 30B (xHigh)57.59#178 (Muse Glimmer 30B)
14Muse Glimmer 30B (High)57.43#178 (Muse Glimmer 30B)
15Qwen 3 Next 80B A3B (Thinking)56.95#320 (Qwen 3 Next 80B A3B)

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=medmarks · How It Works · Data refreshed daily, snapshot 2026-10-20.