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Video-MMMU

Multimodal · 2025-01-23

Video-MMMU measures how well multimodal models acquire and apply knowledge from 300 expert-level lecture videos across six disciplines, with 900 questions spanning perception, comprehension and adaptation. Scores are overall accuracy; the frame budget and prompt are the reporter's own and are recorded in score notes. Higher is better.

Top models (higher is better)

ModelScore
Qwen3.8-Max88.7
Gemini 3 Pro Preview87.6
Gemini 3 Flash Preview86.9
Kimi K2.586.6
GPT-5.285.9
Qwen3.7-Plus (source unspecified)85.4
Gemini 3.1 Pro Preview85.3
Opus 4.685.2
GPT-5.6 Sol85.0
Gemini 3.1 Flash-Lite Preview84.8
Qwen3.5 397B A17B84.7
GPT-584.6
Opus 4.584.4
Qwen3.6 27B84.4
Qwen3.6 Plus (2026-04-02)84.0
Qwen3.6 35B A3B83.7
Gemini 2.5 Pro83.6
o383.3
GPT-5 Mini82.5
GPT-5.482.4
Qwen3.5-27B82.3
Qwen3.5 122B A10B82.0
Gemma 4 31B IT81.6
GPT-5.6 Luna81.1
Qwen3.5 35B A3B80.4
Qwen3 VL 235B A22B Thinking80.0
O4 Mini79.4
Gemini 2.5 Flash79.2
Qwen3 VL 32B Thinking79.0
Qwen3.5-9B78.9
Sonnet 4.577.8
Opus 4.176.2
Gemma 4 26B A4B IT76.0
Opus 4.875.3
Qwen3 VL 30B A3B Thinking75.0
Qwen3-VL-235B-A22B-Instruct74.7
Grok 4.1 Fast74.6
Qwen3.5-4B74.1
Gemini 3.5 Flash-Lite73.9
Qwen3 VL 8B Thinking72.8
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