HELM VHELM - Mmmu - Economics: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) MMMU Economics: 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
1Gemini 2.5 Pro (Preview 03-25)93.1#126
2O4 Mini (2025-04-16)86.21#183
3O3 (2025-04-16)86.21#125
4O1 (2024-12-17)82.76#157
5GPT-4.579.31#278
6Gemini 2.0 Pro (Preview 02-05)75.86#318
7Gemini 1.5 Pro (002)72.41#368
8Llama 4 Maverick Instruct FP872.41#424
9Gemini 2.0 Flash68.97#351
10Gemini 2.0 Flash (Preview)68.97#376
11Claude 3.5 Sonnet (20241022)65.52#302
12Gemini 2.0 Flash Lite65.52#455
13Claude 3.5 Sonnet (20240620)62.07#308
14GPT-4o Mini (2024-07-18)62.07#568
15GPT-4.1 (2025-04-14)62.07#257

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