MMMU

MMMU (Massive Multi-discipline Multimodal Understanding) is a benchmark designed to evaluate multimodal models on college-level subject knowledge and deliberate reasoning. Contains 11.5K meticulously collected multimodal questions from college exams, quizzes, and textbooks, covering six core disciplines: Art & Design, Business, Science, Health & Medicine, Humanities & Social Science, and Tech & Engineering across 30 subjects and 183 subfields.

Qwen3.6 Plus from Alibaba Cloud / Qwen Team currently leads the MMMU leaderboard with a score of 0.860 across 62 evaluated AI models.

Paper

Alibaba Cloud / Qwen TeamQwen3.6 Plus leads with 86.0%, followed by OpenAIGPT-5.1 at 85.4% and OpenAIGPT-5.1 Thinking at 85.4%.

Progress Over Time

Interactive timeline showing model performance evolution on MMMU

State-of-the-art frontier
Open
Proprietary

MMMU Leaderboard

62 models
ContextCostLicense
1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
1.0M$0.50 / $3.00
2
OpenAI
OpenAI
400K$1.25 / $10.00
2400K$1.25 / $10.00
2400K$1.25 / $10.00
5
OpenAI
OpenAI
6
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
122B262K$0.40 / $3.20
7
OpenAI
OpenAI
7
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
28B262K$0.60 / $3.60
9
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
27B262K$0.30 / $2.40
10
11
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
35B
12
OpenAI
OpenAI
13
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
35B262K$0.25 / $2.00
141.0M$0.30 / $2.50
151.0M$1.25 / $10.00
1610B
17128K$3.00 / $15.00
18
OpenAI
OpenAI
19
20
OpenAI
OpenAI
21
22
OpenAI
OpenAI
1.0M$2.00 / $8.00
23
24400B
25
261.0M$0.40 / $1.60
27
OpenAI
OpenAI
128K$2.50 / $10.00
28
29
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
73B
30
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
72B
31
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
34B
31
Moonshot AI
Moonshot AI
33109B
34
35
36
37
38
Mistral AI
Mistral AI
124B
39
4024B
41
42
Amazon
Amazon
4390B
44
4524B
4524B
47
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
7B
48
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
8B
49
Amazon
Amazon
501.0M$0.10 / $0.40
150 of 62
1/2
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FAQ

Common questions about MMMU.

What is the MMMU benchmark?

MMMU (Massive Multi-discipline Multimodal Understanding) is a benchmark designed to evaluate multimodal models on college-level subject knowledge and deliberate reasoning. Contains 11.5K meticulously collected multimodal questions from college exams, quizzes, and textbooks, covering six core disciplines: Art & Design, Business, Science, Health & Medicine, Humanities & Social Science, and Tech & Engineering across 30 subjects and 183 subfields.

What is the MMMU leaderboard?

The MMMU leaderboard ranks 62 AI models based on their performance on this benchmark. Currently, Qwen3.6 Plus by Alibaba Cloud / Qwen Team leads with a score of 0.860. The average score across all models is 0.672.

What is the highest MMMU score?

The highest MMMU score is 0.860, achieved by Qwen3.6 Plus from Alibaba Cloud / Qwen Team.

How many models are evaluated on MMMU?

62 models have been evaluated on the MMMU benchmark, with 0 verified results and 60 self-reported results.

Where can I find the MMMU paper?

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

What categories does MMMU cover?

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

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