HELM VHELM - Mm Star Reasoning - Math: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) MM-Star Math subset: multiple-choice questions curated so that they cannot be answered without the image; 250 questions, prefix quasi-exact match. Percent correct, 0-100, higher is better.

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)91.6#125
2O4 Mini (2025-04-16)89.2#183
3Gemini 2.5 Pro (Preview 03-25)87.6#126
4O1 (2024-12-17)87.2#157
5Gemini 2.0 Pro (Preview 02-05)86.4#318
6Gemini 2.0 Flash (Preview)83.6#376
7Gemini 1.5 Pro (002)81.2#368
8GPT-4.580.4#278
9Gemini 2.0 Flash78.8#351
10Gemini 2.0 Flash Lite76.4#455
11GPT-4o (2024-05-13)69.6#337
12GPT-4.1 (2025-04-14)69.2#257
13GPT-4o (2024-08-06)65.2#343
14Claude 3 Sonnet (20240229)58.4#694
15Gemini 1.5 Flash (002)58#587

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-mm-star-reasoning-math · How It Works · Data refreshed daily, snapshot 2026-11-05.