ARC-AGI-2 Scores
Each model's ARC-AGI-2 score. Color = provider.
ARC-AGI-2 Scores
Each model's ARC-AGI-2 score. Color = provider.
ARC-AGI-2 Cost Efficiency
X = ARC Prize reported cost/task (log). Y = ARC-AGI-2 %. Each line connects one model's published reasoning-effort levels, so the score-vs-cost tradeoff is visible per model. Defaults to the current model generation. Color = provider.
This chart is part of the ARC-AGI-2 benchmark page, which adds the model table, sources and how to read each view.
IQ DimensionsAbstract Reasoning IQ Bell CurveEach model's estimated Abstract Reasoning IQ, placed on a standard normal IQ distribution.Data: ARC Prize, Epoch AI, Epoch AIOpen chartCoreIQ Bell CurveEach model's estimated IQ, placed on a standard normal IQ distribution.Data: ARC Prize, Epoch AI, Epoch AI +26 moreOpen chartIQ BenchmarksChess Puzzles ScoresEpoch’s 100 novel chess positions, presented as text (FEN). Exact best-next-move accuracy; no vision input. Chess knowledge and planning both contribute. Contributes to Abstract Reasoning using a provisional calibrated scale.Data: Epoch AIOpen chartIQ BenchmarksARC-AGI-1 Benchmark ScoresEach model's ARC-AGI-1 score. Color = provider.Data: ARC PrizeOpen chartIQ BenchmarksMystery Game Puzzles ScoresEpoch’s 100 text-state puzzles in an undisclosed game. Best-next-move accuracy in a minimal agent scaffold; invalid or missing moves receive no credit. Prompts and transcripts are private. Contributes to Abstract Reasoning using a provisional calibrated scale.Data: Epoch AIOpen chartIQ BenchmarksARC-AGI-3 Benchmark ScoresEach model's ARC-AGI-3 score. Color = provider.Data: ARC PrizeOpen chart