HELM VHELM - Mmmu - Chemistry: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) MMMU Chemistry: college-level multiple-choice questions over images from the MMMU validation set for this subject; 23 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
1O3 (2025-04-16)78.26#125
2Gemini 2.5 Pro (Preview 03-25)69.57#126
3Claude 3.5 Sonnet (20241022)60.87#302
4O4 Mini (2025-04-16)60.87#183
5O1 (2024-12-17)60.87#157
6Gemini 1.5 Pro (002)56.52#368
7Gemini 2.0 Pro (Preview 02-05)56.52#318
8GPT-4.1 Mini52.17#363
9Claude 3.5 Sonnet (20240620)52.17#308
10Gemini 2.0 Flash (Preview)52.17#376
11GPT-4.552.17#278
12GPT-4.1 Nano47.83#730
13Gemini 2.0 Flash47.83#351
14Llama 4 Maverick Instruct FP847.83#424
15Gemini 1.5 Flash (002)43.48#587

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