HELM VHELM - Mmmu - Geography: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) MMMU Geography: college-level multiple-choice questions over images from the MMMU validation set for this subject; 27 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)81.48#125
2Gemini 2.0 Flash Lite74.07#455
3Claude 3.5 Sonnet (20241022)70.37#302
4GPT-4o (2024-08-06)70.37#343
5O1 (2024-12-17)70.37#157
6GPT-4.570.37#278
7Gemini 2.0 Flash66.67#351
8Claude 3.5 Sonnet (20240620)66.67#308
9Claude 3 Opus (20240229)66.67#428
10Gemini 2.0 Pro (Preview 02-05)66.67#318
11Gemini 2.5 Pro (Preview 03-25)62.96#126
12GPT-4.1 (2025-04-14)62.96#257
13Claude 3 Haiku (20240307)62.96#780
14Gemini 1.5 Pro (002)59.26#368
15GPT-4o Mini (2024-07-18)59.26#568

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