Abstract reasoning
ARC-AGI open model results
Abstract reasoning benchmark built from novel visual transformation tasks. Results depend heavily on the dataset split and solver system, so each row preserves its evaluation scope.
The ARC Prize community page distinguishes organizer-verified semi-private scores from self-reported public-set scores. The rows below retain that status and must not be compared across different splits as if they were one leaderboard.
| System | Model | Score | Evaluation scope | Evidence |
|---|---|---|---|---|
| Tiny Recursive Model (TRM)Result reported by the open-source implementation authors | TRM, 7M parametersOpen-source system | 45% | ARC-AGI-1 evaluation set | Community curated |
| Tiny Recursive Model (TRM)Recursive reasoning model trained from scratch | TRM, 7M parametersOpen-source system | 7.8% | ARC-AGI-2 Public Train | Community curated |
| Hierarchical Reasoning Model (HRM)Iterative hierarchical recurrent reasoning model | HRM, 27M parametersOpen-source system | 2% | ARC-AGI-2 Semi-Private | Organizer verified |