HELM VHELM - Mmmu - Architecture and Engineering: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) MMMU Architecture and Engineering: 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
1O3 (2025-04-16)89.66#125
2O4 Mini (2025-04-16)79.31#183
3O1 (2024-12-17)65.52#157
4GPT-4o Mini (2024-07-18)55.17#568
5GPT-4.1 (2025-04-14)55.17#257
6GPT-4o (2024-05-13)55.17#337
7Claude 3.5 Sonnet (20240620)51.72#308
8Gemini 2.5 Pro (Preview 03-25)51.72#126
9Gemini 2.0 Flash (Preview)51.72#376
10Gemini 2.0 Flash48.28#351
11Gemini 2.0 Pro (Preview 02-05)48.28#318
12Gemini 2.0 Flash Lite48.28#455
13Gemini 1.5 Pro (002)44.83#368
14GPT-4o (2024-08-06)44.83#343
15Claude 3 Haiku (20240307)44.83#780

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-architecture-and-engineering · How It Works · Data refreshed daily, snapshot 2026-11-05.