HELM VHELM - Mmmu - Psychology: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) MMMU Psychology: 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
1GPT-4.582.76#278
2Claude 3.5 Sonnet (20241022)75.86#302
3Claude 3.5 Sonnet (20240620)75.86#308
4Gemini 2.5 Pro (Preview 03-25)75.86#126
5GPT-4o (2024-08-06)75.86#343
6GPT-4o (2024-05-13)75.86#337
7O4 Mini (2025-04-16)75.86#183
8GPT-4o (2024-11-20)75.86#392
9O1 (2024-12-17)75.86#157
10Gemini 2.0 Flash72.41#351
11Gemini 1.5 Flash (002)72.41#587
12O3 (2025-04-16)72.41#125
13Gemini 2.0 Pro (Preview 02-05)72.41#318
14GPT-4.1 Mini68.97#363
15Gemini 1.5 Pro (002)68.97#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-psychology · How It Works · Data refreshed daily, snapshot 2026-11-05.