reasoning benchmark
ARC-AGI-3
ARC-AGI-3 is the third-generation Abstraction and Reasoning Corpus benchmark, an interactive-reasoning evaluation designed to measure fluid, novel problem-solving ability that remains far from saturated for frontier models.
Updated Aug 11, 2026
Models4
Model coverage4
MetricScore
EvidenceB
ARC-AGI-3 Ranking
Higher score ranks better on this benchmark.
| 1 | AN | 30.2% | 100.0% | 4 | C | |
| 2 | OP | 7.8% | 66.7% | 4 | C | |
| 3 | OP | 0.8% | 33.3% | 4 | C | |
| 4 | OP | 0.2% | 0.0% | 4 | C |
ARC-AGI-3 Score Distribution
A closer view of the leading scores on this benchmark.
ARC-AGI-3 Highlights
The leading models and scores on this benchmark.
What is ARC-AGI-3?
What ARC-AGI-3 measures and how its scores work.
ARC-AGI-3 is the third-generation Abstraction and Reasoning Corpus benchmark, an interactive-reasoning evaluation designed to measure fluid, novel problem-solving ability that remains far from saturated for frontier models.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- ARC-AGI-3
- Modality
- multimodal
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- arc-agi-3|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about ARC-AGI-3.
Which model scores highest on ARC-AGI-3?
Claude Opus 5 is currently ranked first with 30.2%.
What does ARC-AGI-3 measure?
ARC-AGI-3 is the third-generation Abstraction and Reasoning Corpus benchmark, an interactive-reasoning evaluation designed to measure fluid, novel problem-solving ability that remains far from saturated for frontier models.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
4 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.