HELM VHELM - Mmmu - Clinical Medicine: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) MMMU Clinical Medicine: college-level multiple-choice questions over images from the MMMU validation set for this subject; 30 questions, prefix quasi-exact match. Percent correct, 0-100, higher is better; a small sample.

Metric: Prefix Quasi-Exact Match (%). Source: crfm.stanford.edu. Saturation forecast: Estimated already saturated. 48 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4o (2024-08-06)80#343
2Gemini 1.5 Pro (002)76.67#368
3O3 (2025-04-16)76.67#125
4Gemini 2.0 Flash (Preview)76.67#376
5GPT-4.576.67#278
6Gemini 2.0 Flash Lite76.67#455
7Claude 3.5 Sonnet (20241022)73.33#302
8Gemini 2.0 Flash73.33#351
9Claude 3.5 Sonnet (20240620)73.33#308
10Gemini 2.5 Pro (Preview 03-25)73.33#126
11GPT-4o (2024-05-13)73.33#337
12O4 Mini (2025-04-16)73.33#183
13GPT-4o (2024-11-20)73.33#392
14GPT-4o Mini (2024-07-18)70#568
15GPT-4.1 (2025-04-14)70#257

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

Interactive version: theaggregate.ai/benchmark?slug=helm-vhelm-mmmu-clinical-medicine · How It Works · Data refreshed daily, snapshot 2026-11-05.