# ARC-AGI-1

ARC-AGI-1 is an AI benchmark; this page records what it measures and traces its data, grader, and scores to primary sources.

Tests few-shot abstraction by asking systems to infer transformations between small colored grids.

## Details

- Address: Online, Global
- Website: [github.com/fchollet/ARC-AGI](<https://github.com/fchollet/ARC-AGI>)
- Tags: Viral, Science
- Category: Reasoning
- Status: Active
- Data licence: Apache-2.0
- Data access: open
- Grader: exact
- Organization: François Chollet
- Released: 2019-11
- Paper: [arxiv.org/abs/1911.01547](<https://arxiv.org/abs/1911.01547>)
- Leaderboard: [arcprize.org/leaderboard](<https://arcprize.org/leaderboard>)
- Repository: [github.com/fchollet/ARC-AGI](<https://github.com/fchollet/ARC-AGI>)
- Task count: 800
- Top-score provenance: unknown
- ABI family: No

## Questions

### Where is ARC-AGI-1?

ARC-AGI-1 is at Online, Global.

### How do I contact ARC-AGI-1?

To contact ARC-AGI-1, visit https://github.com/fchollet/ARC-AGI.

## 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/arc-agi-1>)
- [Reasoning in Online](<https://aibenchmarkindex.com/global/online/category/reasoning.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.