HELM VHELM - Mmmu - Biology: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) MMMU Biology: college-level multiple-choice questions over images from the MMMU validation set for this subject; 29 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
1O4 Mini (2025-04-16)68.97#183
2Gemini 2.5 Pro (Preview 03-25)65.52#126
3O3 (2025-04-16)65.52#125
4Claude 3.5 Sonnet (20240620)62.07#308
5GPT-4o (2024-08-06)62.07#343
6Gemini 2.0 Pro (Preview 02-05)62.07#318
7Gemini 2.0 Flash Lite62.07#455
8GPT-4.1 Mini58.62#363
9Claude 3.5 Sonnet (20241022)58.62#302
10Gemini 2.0 Flash58.62#351
11GPT-4.1 (2025-04-14)58.62#257
12GPT-4o (2024-05-13)58.62#337
13GPT-4o (2024-11-20)58.62#392
14Gemini 2.0 Flash (Preview)58.62#376
15Gemini 1.5 Pro (002)55.17#368

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-biology · How It Works · Data refreshed daily, snapshot 2026-11-05.