Video-MMMU: leaderboard

300 college-level lecture videos across 30 subjects. Measures whether watching video helps LLMs solve problems - the 'delta-knowledge' metric. Humans gain 33% from video; top models only 15%.

Metric: Overall Score. Source: videommmu.github.io. Source: videommmu.github.io. Source: llm-stats.com. Saturation forecast: Estimated already saturated. 24 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro87.6#80
2Gemini 3 Flash86.9#99
3Kimi K2.586.6#144
4GPT-5.285.9#110
5Qwen 3.7 Plus85.4#92
6Gemini 3.1 Flash Lite84.8#191
7GPT-584.6#98
8MiniMax-M384.6#136
9Qwen 3.6 27B84.4#170
10Qwen 3.6 Plus84#120
11Qwen 3.6 35B A3B83.7#226
12Gemini 2.5 Pro (Preview 06-05)83.6#106
13O383.3#124
14Seed 1.882.7#139
15Qwen 3.5 27B82.3#187

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

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