HELM VHELM - Mmmu - Math: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) MMMU Math: 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. 45 models tracked.

Top models

#ModelScoreOverall rank
1O3 (2025-04-16)82.76#125
2O4 Mini (2025-04-16)75.86#183
3O1 (2024-12-17)75.86#157
4Gemini 2.5 Pro (Preview 03-25)62.07#126
5Gemini 2.0 Pro (Preview 02-05)62.07#318
6Gemini 1.5 Pro (002)58.62#368
7GPT-4o (2024-08-06)55.17#343
8Gemini 2.0 Flash48.28#351
9Gemini 1.5 Flash (002)48.28#587
10Claude 3.5 Sonnet (20240620)48.28#308
11Llama 4 Maverick Instruct FP848.28#424
12Gemini 2.0 Flash (Preview)48.28#376
13GPT-4.1 Mini44.83#363
14Claude 3.5 Sonnet (20241022)44.83#302
15GPT-4.1 (2025-04-14)44.83#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-math · How It Works · Data refreshed daily, snapshot 2026-11-05.