HELM VHELM - Mmmu - Finance: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) MMMU Finance: college-level multiple-choice questions over images from the MMMU validation set for this subject; 22 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
1O4 Mini (2025-04-16)90.91#183
2O3 (2025-04-16)90.91#125
3O1 (2024-12-17)86.36#157
4Gemini 2.5 Pro (Preview 03-25)81.82#126
5Gemini 1.5 Pro (002)68.18#368
6GPT-4.568.18#278
7Claude 3.5 Sonnet (20240620)63.64#308
8Llama 4 Maverick Instruct FP863.64#424
9Gemini 2.0 Pro (Preview 02-05)63.64#318
10Claude 3.5 Sonnet (20241022)59.09#302
11GPT-4.1 (2025-04-14)54.55#257
12Claude 3 Opus (20240229)54.55#428
13Gemini 1.5 Flash (002)50#587
14GPT-4o (2024-05-13)50#337
15GPT-4o (2024-08-06)45.45#343

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