# MM-Vet

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

Measures how well multimodal models integrate recognition, OCR, knowledge, language, spatial, and mathematical capabilities.

## Details

- Address: Online, Global
- Website: [github.com/yuweihao/MM-Vet](<https://github.com/yuweihao/MM-Vet>)
- Tags: Science
- Category: Multimodal
- Status: Active
- Data licence: Apache-2.0
- Data access: open
- Grader: llm-judge
- Organization: MM-Vet authors
- Released: 2023-08
- Paper: [arxiv.org/abs/2308.02490](<https://arxiv.org/abs/2308.02490>)
- Leaderboard: [paperswithcode.com/sota/visual-question-answering-on-mm-vet](<https://paperswithcode.com/sota/visual-question-answering-on-mm-vet>)
- Repository: [github.com/yuweihao/MM-Vet](<https://github.com/yuweihao/MM-Vet>)
- Top-score provenance: unknown
- ABI family: No

## Questions

### Where is MM-Vet?

MM-Vet is at Online, Global.

### How do I contact MM-Vet?

To contact MM-Vet, visit https://github.com/yuweihao/MM-Vet.

## 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/mm-vet>)
- [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.