HELM VHELM - Mm Star Reasoning - Logical Reasoning: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) MM-Star Logical Reasoning 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
1Gemini 2.5 Pro (Preview 03-25)88#126
2O4 Mini (2025-04-16)87.6#183
3O3 (2025-04-16)87.2#125
4O1 (2024-12-17)83.6#157
5GPT-4.578.4#278
6GPT-4.1 (2025-04-14)78#257
7Gemini 2.0 Flash76#351
8GPT-4o (2024-08-06)76#343
9Gemini 2.0 Flash Lite76#455
10GPT-4o (2024-05-13)75.6#337
11Gemini 2.0 Flash (Preview)75.6#376
12Gemini 2.0 Pro (Preview 02-05)74.4#318
13GPT-4.1 Mini73.2#363
14GPT-4o (2024-11-20)72.8#392
15Gemini 1.5 Pro (002)72.4#368

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