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Video-MMMU

A multi-discipline benchmark evaluating large multimodal models' ability to acquire and apply knowledge from expert-level professional videos across six disciplines through three cognitive stages (Perception, Comprehension, Adaptation), measured by question-answering accuracy.

MultimodalaccuracyHigher is better

What this benchmark measures

A multi-discipline benchmark evaluating large multimodal models' ability to acquire and apply knowledge from expert-level professional videos across six disciplines through three cognitive stages (Perception, Comprehension, Adaptation), measured by question-answering accuracy.

Rows on this page are sourced from public benchmark artifacts, leaderboard exports, or source-linked model reports. Each row keeps benchmark version, source model name, and available run details attached to the score.

The metric shown here is accuracy. It should be interpreted within Video-MMMU, not compared as part of a site-wide ranking.

No composite ranking
evals.report never combines benchmarks. accuracy on Video-MMMU is its own number — don’t average it with other metrics.