OpenVLM MMMU - Public Health: leaderboard

OpenCompass OpenVLM MMMU validation subcategory score for visual college-level questions in public health.

Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 284 models tracked.

Top models

#ModelScoreOverall rank
1Claude 3.5 Sonnet (20241022)96.7#291
2Claude 3.7 Sonnet96.7#249
3Claude 3.5 Sonnet96.7#350
4GPT-593.3#98
5Gemini 1.5 Pro (002)93.3#349
6InternVL3-78B93.3#352
7GPT-4.1 (2025-04-14)93.3#250
8InternVL2.5-78B93.3#431
9GPT-4.593.3#274
10Gemini 2.0 Flash90#342
11InternVL3-38B90#405
12InternVL3-14B90#505
13GPT-4o ChatGPT90
14GPT-5 Mini (2025-08-07)86.7#172
15Gemini 1.5 Pro86.7#445

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=openvlm-mmmu-public-health · How It Works · Data refreshed daily, snapshot 2026-10-20.