HELM VHELM - Mmmu - Sociology: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) MMMU Sociology: 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
1Llama 4 Maverick Instruct FP886.67#424
2O4 Mini (2025-04-16)83.33#183
3O1 (2024-12-17)83.33#157
4GPT-4.1 (2025-04-14)80#257
5GPT-4o (2024-05-13)80#337
6O3 (2025-04-16)80#125
7GPT-4.580#278
8GPT-4.1 Mini76.67#363
9Gemini 2.5 Pro (Preview 03-25)76.67#126
10GPT-4o (2024-08-06)76.67#343
11GPT-4o (2024-11-20)76.67#392
12Gemini 2.0 Pro (Preview 02-05)76.67#318
13GPT-4o Mini (2024-07-18)73.33#568
14Gemini 2.0 Flash (Preview)73.33#376
15Claude 3.5 Sonnet (20241022)70#302

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