# ImageReward

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

Measures how closely text-to-image outputs align with human preferences using a learned reward model trained on expert comparisons.

## Details

- Address: Online, Global
- Website: [github.com/zai-org/ImageReward](<https://github.com/zai-org/ImageReward>)
- Tags: Helpful, Science
- Category: Multimodal
- Status: Active
- Data licence: Apache-2.0
- Data access: open
- Grader: mixed
- Organization: Tsinghua University
- Released: 2023-04
- Paper: [arxiv.org/abs/2304.05977](<https://arxiv.org/abs/2304.05977>)
- Repository: [github.com/zai-org/ImageReward](<https://github.com/zai-org/ImageReward>)
- Task count: 137,000
- Top-score provenance: unknown
- ABI family: No

## Questions

### Where is ImageReward?

ImageReward is at Online, Global.

### How do I contact ImageReward?

To contact ImageReward, visit https://github.com/zai-org/ImageReward.

## 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/imagereward>)
- [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.