reasoning benchmark
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 7, 2026
Sorted by the source-provided rank. Higher score is better according to the registry.
| 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 |
Top published rows on the benchmark's original scale.
The top published results on this benchmark's own scale.
Definition and scoring fields from the benchmark registry.
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. The current registry marks this benchmark as not independently verified with evidence level B.
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
Common questions about ARC-AGI-3.
Claude Opus 5 is currently ranked first with 30.2%.
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.
Yes. Higher values rank better for this benchmark.
4 unique published model results are currently shown.
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.