Benchmark leaderboard
ARC-AGI-3 moves the ARC challenge into interactive game-like environments where the model must learn the rules while acting. The verified board reports the percentage of tasks completed. This page lists every model ModelCap tracks with a published ARC-AGI-3 result, its best evaluated configuration, the source's own rank, and the model's ModelCap Index position, API price and context window.
Snapshot as of 13 August 2026
Claude Opus 5 from Anthropic leads the ARC-AGI-3 leaderboard among the 10 tracked models with 30.2% (High configuration), per the source snapshot published 13 August 2026.
Sorted by published score, one row per model. Source: ARC Prize Foundation.
ARC-AGI-3 ranks models by verified ARC-AGI-3 task completion. ModelCap ingests the board as published, matches each entry to a catalogue model with a reviewed identity, and shows the source's score, interval and rank unchanged. Where a model has an admitted result, it feeds the ModelCap Index as reasoning evidence alongside the other public boards; the methodology documents the weighting and the identity rules.
ARC-AGI-3 moves the ARC challenge into interactive game-like environments where the model must learn the rules while acting. The verified board reports the percentage of tasks completed. It is published by ARC Prize Foundation.
Claude Opus 5 (Anthropic) holds the top ARC-AGI-3 score among the models ModelCap tracks, at 30.2% as of the source snapshot published 13 August 2026.
10 tracked models have a published ARC-AGI-3 result on ModelCap; the source board itself lists 27 entries. Each row shows the model's best evaluated configuration.
Among the ten highest-scoring priced models, GPT-5.6 Luna has the lowest listed output price at $1.20 per 1M tokens while scoring 0.2%.
The board ranks models by verified ARC-AGI-3 task completion; higher scores are better. ModelCap shows the source's own score, interval and rank and never re-runs the evaluation.
Not on its own. The ModelCap Index combines several public capability sources with published uncertainty; ARC-AGI-3 contributes as reasoning evidence where a model has an admitted result. The methodology page documents the weighting.
The newest ARC-AGI-3 publication ModelCap holds is dated 13 August 2026. The page re-renders every minute from the sealed dataset, so it reflects the latest refresh of the source board.