# MMMU

MMMU is an AI benchmark; this page records what it measures and traces its data, grader, and scores to primary sources.

Measures expert-level multimodal reasoning across college disciplines, subjects, and heterogeneous image types.

## Details

- Address: Online, Global
- Website: [mmmu-benchmark.github.io/](<https://mmmu-benchmark.github.io/>)
- Tags: Helpful, Science
- Category: Multimodal
- Status: Active
- Data licence: Apache-2.0
- Data access: open
- Grader: exact
- Organization: MMMU team
- Released: 2023-11
- Paper: [arxiv.org/abs/2311.16502](<https://arxiv.org/abs/2311.16502>)
- Leaderboard: [mmmu-benchmark.github.io/\#leaderboard](<https://mmmu-benchmark.github.io/#leaderboard>)
- Repository: [github.com/MMMU-Benchmark/MMMU](<https://github.com/MMMU-Benchmark/MMMU>)
- Task count: 11,500
- Top-score provenance: unknown
- ABI family: No

## Questions

### Where is MMMU?

MMMU is at Online, Global.

### How do I contact MMMU?

To contact MMMU, visit https://mmmu-benchmark.github.io/.

## Source

From [Benchmark primary sources](https://aibenchmarkindex.com/about), license CC0-1.0, checked 2026-10-15.

Last updated October 15, 2026.

## Links

- This benchmark on the [web page](<https://aibenchmarkindex.com/global/online/mmmu>)
- [Multimodal in Online](<https://aibenchmarkindex.com/global/online/category/multimodal.md>)
- [More benchmarks in Online](<https://aibenchmarkindex.com/global/online.md>)

> **Check before you compare.** Benchmark methods and leaderboards change. Follow the cited primary source before using a result in a decision.