ARC-AGI
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
The Frontier
Best score over time · one chart, every benchmark
Full rankings
88 models tested · sorted by score
Score distribution
Where models cluster
Correlated benchmarks
Pearson r · original research
Benchmarks that track with ARC-AGI
Pearson correlation across models scored on both benchmarks. Closer to 1 = strongly predictive.
Frequently asked
About ARC-AGI
What does ARC-AGI measure?
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. 88 AI models have been tested on it. Scores range from 0.1 to 98.5 out of 100.
Which model leads on ARC-AGI?
Claude Fable 5 from Anthropic leads ARC-AGI with a score of 98.5. The median score across 88 tested models is 76.0.
Is ARC-AGI saturated?
Yes · the top model on ARC-AGI has reached 98.5 out of 100, within 5% of the theoretical ceiling. This benchmark is approaching saturation and may be replaced by a harder successor.
Does ARC-AGI predict performance on other benchmarks?
Yes · ARC-AGI scores correlate 1.00 with Artificial Analysis · Terminal-Bench Hard across 5 shared models. Models that do well on ARC-AGI tend to do well on Artificial Analysis · Terminal-Bench Hard.
How often is ARC-AGI data refreshed?
BenchGecko pulls updates daily. New model scores on ARC-AGI appear as soon as they are published by Epoch AI or the model provider.
- Category
- Reasoning
- Max score
- 100
- Models
- 88
- Updated
- 2026-10-17
Top on ARC-AGI
Claude Fable 5 · 98.5GPT-6 Astra · 98.5Claude Opus 5.5 · 98.5GPT-6.1 Sol · 98.5Gemini 3.8 Flash · 98.5More reasoning benchmarks
Same category · related evaluations