HELM VHELM - Mmmu - Mechanical Engineering: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) MMMU Mechanical Engineering: 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
1O3 (2025-04-16)80#125
2Gemini 2.5 Pro (Preview 03-25)63.33#126
3O4 Mini (2025-04-16)63.33#183
4O1 (2024-12-17)63.33#157
5GPT-4.1 Nano56.67#730
6Gemini 2.0 Flash (Preview)56.67#376
7Gemini 2.0 Flash50#351
8Claude 3.5 Sonnet (20240620)50#308
9Gemini 2.0 Flash Lite50#455
10GPT-4o (2024-08-06)46.67#343
11Claude 3 Haiku (20240307)46.67#780
12Claude 3 Opus (20240229)46.67#428
13Gemini 2.0 Pro (Preview 02-05)46.67#318
14Claude 3.5 Sonnet (20241022)40#302
15Gemini 1.5 Pro (002)40#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-mechanical-engineering · How It Works · Data refreshed daily, snapshot 2026-11-05.