benchgap
Calibration

ARC-AGI-2 → ARC-AGI-1

ARC-AGI-1 is estimated from ARC-AGI-2 with a Michaelis–Menten + offset curve fitted on 34 models measured on both: y = 0.4271 + 0.8169·x / (0.45739 + x), R² = 0.97, cross-validated error 1.9 pp. It is used for 7 estimates.

Estimated modelARC-AGI-2ARC-AGI-1Source
Claude Opus 4.7 (Adaptive)75.8%93.7%estimated ± 1.9 pp, high confidence
Claude Sonnet 4.513.6%61.4%estimated ± 1.9 pp, high confidence
dots3-note Preview81.4%95.0%estimated ± 1.9 pp, high confidence
Gemini 3.1 Pro77.1%94.0%estimated ± 1.9 pp, high confidence
Gemini 3 Pro Deep Think45.1%83.3%estimated ± 1.9 pp, high confidence
Grok 4.2053.3%86.7%estimated ± 1.9 pp, high confidence
Muse Spark42.5%82.1%estimated ± 1.9 pp, high confidence