MMMU (val)

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.

Qwen3 VL 32B Thinking from Alibaba Cloud / Qwen Team currently leads the MMMU (val) leaderboard with a score of 0.781 across 11 evaluated AI models.

Paper

Alibaba Cloud / Qwen TeamQwen3 VL 32B Thinking leads with 78.1%, followed by Alibaba Cloud / Qwen TeamQwen3 VL 30B A3B Thinking at 76.0% and Alibaba Cloud / Qwen TeamQwen3 VL 32B Instruct at 76.0%.

Progress Over Time

Interactive timeline showing model performance evolution on MMMU (val)

State-of-the-art frontier
Open
Proprietary

MMMU (val) Leaderboard

11 models
ContextCostLicense
1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
33B
2
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
31B262K$0.20 / $1.00
2
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
33B
4
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
31B262K$0.20 / $0.70
5
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
9B262K$0.18 / $2.09
6
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
4B262K$0.10 / $1.00
7
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
9B262K$0.08 / $0.50
8
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
4B262K$0.10 / $0.60
927B131K$0.10 / $0.20
1012B131K$0.05 / $0.10
114B131K$0.02 / $0.04
Notice missing or incorrect data?

FAQ

Common questions about MMMU (val).

What is the MMMU (val) 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 (val) leaderboard?

The MMMU (val) leaderboard ranks 11 AI models based on their performance on this benchmark. Currently, Qwen3 VL 32B Thinking by Alibaba Cloud / Qwen Team leads with a score of 0.781. The average score across all models is 0.690.

What is the highest MMMU (val) score?

The highest MMMU (val) score is 0.781, achieved by Qwen3 VL 32B Thinking from Alibaba Cloud / Qwen Team.

How many models are evaluated on MMMU (val)?

11 models have been evaluated on the MMMU (val) benchmark, with 0 verified results and 11 self-reported results.

Where can I find the MMMU (val) paper?

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

What categories does MMMU (val) cover?

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

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