HELM VHELM - Mmmu - Accounting: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) MMMU Accounting: 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)86.67#125
2O4 Mini (2025-04-16)80#183
3Gemini 2.5 Pro (Preview 03-25)76.67#126
4O1 (2024-12-17)73.33#157
5Claude 3.5 Sonnet (20241022)63.33#302
6Claude 3.5 Sonnet (20240620)63.33#308
7GPT-4.1 Mini60#363
8Gemini 2.0 Flash Lite60#455
9Gemini 1.5 Pro (002)56.67#368
10Gemini 1.5 Flash (002)56.67#587
11Llama 4 Maverick Instruct FP856.67#424
12Gemini 2.0 Flash (Preview)56.67#376
13GPT-4.556.67#278
14Gemini 2.0 Pro (Preview 02-05)56.67#318
15GPT-4.1 (2025-04-14)53.33#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-accounting · How It Works · Data refreshed daily, snapshot 2026-11-05.