MMMU (validation)

Validation set of the Massive Multi-discipline Multimodal Understanding and Reasoning benchmark. Features college-level multimodal questions across 6 core disciplines (Art & Design, Business, Science, Health & Medicine, Humanities & Social Science, Tech & Engineering) spanning 30 subjects and 183 subfields with diverse image types including charts, diagrams, maps, and tables.

Claude Opus 4.5 from Anthropic currently leads the MMMU (validation) leaderboard with a score of 0.807 across 4 evaluated AI models.

Paper

AnthropicClaude Opus 4.5 leads with 80.7%, followed by AnthropicClaude Opus 4.1 at 77.1% and AnthropicClaude Opus 4 at 76.5%.

Progress Over Time

Interactive timeline showing model performance evolution on MMMU (validation)

State-of-the-art frontier
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MMMU (validation) Leaderboard

4 models
ContextCostLicense
1200K$5.00 / $25.00
2200K$15.00 / $75.00
3
Anthropic
Anthropic
4200K$1.00 / $5.00
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FAQ

Common questions about MMMU (validation).

What is the MMMU (validation) benchmark?

Validation set of the Massive Multi-discipline Multimodal Understanding and Reasoning benchmark. Features college-level multimodal questions across 6 core disciplines (Art & Design, Business, Science, Health & Medicine, Humanities & Social Science, Tech & Engineering) spanning 30 subjects and 183 subfields with diverse image types including charts, diagrams, maps, and tables.

What is the MMMU (validation) leaderboard?

The MMMU (validation) leaderboard ranks 4 AI models based on their performance on this benchmark. Currently, Claude Opus 4.5 by Anthropic leads with a score of 0.807. The average score across all models is 0.769.

What is the highest MMMU (validation) score?

The highest MMMU (validation) score is 0.807, achieved by Claude Opus 4.5 from Anthropic.

How many models are evaluated on MMMU (validation)?

4 models have been evaluated on the MMMU (validation) benchmark, with 0 verified results and 4 self-reported results.

Where can I find the MMMU (validation) paper?

The MMMU (validation) paper is available at https://arxiv.org/abs/2311.16502. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does MMMU (validation) cover?

MMMU (validation) is categorized under general, healthcare, multimodal, reasoning, and vision. The benchmark evaluates multimodal models.

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