# TasteBench

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

Studies whether aesthetic-preference benchmarks reward expert-aligned craft judgment rather than shortcuts; its item pool remains pending licence clearance.

## Details

- Address: Online, Global
- Website: [github.com/chancevision/tastebench](<https://github.com/chancevision/tastebench>)
- Tags: Science
- Category: Multimodal
- Status: Alpha
- Data licence: unknown
- Data access: none
- Grader: human
- Organization: Chance AI
- Released: 2026-10
- Paper: [arxiv.org/abs/2610.14707](<https://arxiv.org/abs/2610.14707>)
- Repository: [github.com/chancevision/tastebench](<https://github.com/chancevision/tastebench>)
- Top-score provenance: unknown
- ABI family: No

## Questions

### Where is TasteBench?

TasteBench is at Online, Global.

### How do I contact TasteBench?

To contact TasteBench, visit https://github.com/chancevision/tastebench.

## 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/tastebench>)
- [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.