ARC Prize launches ARC-AGI-3 leaderboard, ranking AI systems by cost efficiency

ARC-AGI Leaderboard

ARC Prize published the verified leaderboard for ARC-AGI-3. The new benchmark tests how AI agents adapt on the fly to novel interactive environments, not just passive reasoning. A scatter plot maps each system's score against cost per task, making efficiency the headline metric. Only systems that cost under $10,000 to run are shown; Kaggle entries operate under a $50 compute cap. The post doesn't list specific model names or scores—you need to open the page to see the full ranking.

Why it matters: ARC Prize launches the ARC-AGI-3 verified leaderboard, shifting from static benchmarks to interactive agent adaptation with cost transparency. But the body is just navigation chrome with zero actual scores or model names — too thin to push higher than the featured threshold.