MMVU: leaderboard

3,000 expert-written questions over 1,529 specialist videos across 27 subjects in science, healthcare, humanities and engineering (Yale NLP, 2025); 1,858 multiple-choice and 1,142 open-ended items.

Metric: Hidden-test overall accuracy, chain-of-thought (%). Source: arxiv.org. Source: mmvu-benchmark.github.io. Saturation forecast: Estimated already saturated. 36 models tracked.

Top models

#ModelScoreOverall rank
1O176.1#183
2Gemini 2.0 Flash (Thinking)69.5#342 (Gemini 2.0 Flash)
3GPT-4o66.7#343
4Gemini 2.0 Flash66.5#342
5Gemini 1.5 Pro65.8#445
6Claude 3.5 Sonnet64.1#350
7Grok 263.4#452
8GPT-4o Mini61.5#599
9Gemini 1.5 Flash58.8#618
10Qwen 2 VL 72B53.2#460
11Qwen 2 VL 7B Instruct42.5#826
12Qwen 2 VL 2B36.5#1220
13InternVL2-8B36.2#817
14Pixtral-12B32.2#808

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

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