# MMMU

> MMMU (Massive Multi-discipline Multimodal Understanding) is a benchmark of college-level questions that require reasoning over images, such as charts, diagrams, tables, and chemical structures, together with text, across 30 subjects in six disciplines.

- Identifier: PTL-0196
- Category: Benchmarks
- Canonical URL: https://protologue.com/t/mmmu/
- Introduced: 2023

## Description

It tests whether multimodal models can combine visual perception with domain knowledge, not only describe images. It is a standard headline score for vision-language models.

## Broader terms

- [Benchmark](https://protologue.com/t/benchmark/)

## Related terms

- [Multimodal Prompting](https://protologue.com/t/multimodal-prompting/)
- [MMLU](https://protologue.com/t/mmlu/)

## Sources

- Yue et al. (2023). MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI. https://arxiv.org/abs/2311.16502

## Cite this entry

Protologue. (2026). MMMU. In Protologue: A Taxonomy of Prompting and LLM Techniques (v1.4.0, PTL-0196). https://protologue.com/t/mmmu/

License: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)