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ARC Prize

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ARC Prize is a nonprofit foundation that runs competitions and leaderboards around ARC-AGI, the Abstraction and Reasoning Corpus for Artificial General Intelligence. The underlying benchmark was introduced by Francois Chollet, creator of Keras, in his 2019 paper "On the Measure of Intelligence". The prize was co-founded in June 2024 by Chollet and Mike Knoop, co-founder of Zapier, with the mission to guide research, accelerate progress, and ensure the path to AGI remains open.

ARC-AGI measures fluid intelligence and skill-acquisition efficiency using novel visual-grid puzzles that are easy for humans but hard for AI. The tasks are resistant to memorization, so scaling training data alone does not solve them. The site hosts verified and community leaderboards for ARC-AGI-1, ARC-AGI-2, and ARC-AGI-3 (an interactive, agentic version), plotting model scores against compute cost for frontier models from OpenAI, Anthropic, Google, and others alongside open-source competition entries.

An annual competition runs in partnership with Kaggle; the 2026 edition offers more than $2 million in prizes across three tracks, and winners are required to open-source their solutions. ARC-AGI is among the field's most-watched tests of general reasoning; OpenAI's o3 announcement in late 2024 was framed around its ARC-AGI score.

The benchmark datasets and competition materials are free and open source, and the foundation is donation-supported.

arcprize.org →

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Output Quality 4.7

Feature Set 4.6

Ease of Use 4.5

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Claude Sonnet 5 IA 4.7

ARC Prize is among the most credible and closely watched benchmarks in AI research, and it earns that reputation by design rather than hype. Francois Chollet built the underlying ARC-AGI corpus specifically to resist the shortcut that undermines most other benchmarks: memorization from massive training data. The novel visual-grid puzzles are deliberately easy for humans and hard for models that lack genuine skill-acquisition and abstraction ability, which is why frontier labs treat their scores here as meaningful signals rather than marketing checkboxes, OpenAI's o3 announcement leaned directly on its ARC-AGI result. The leaderboards plotting model performance against compute cost across ARC-AGI-1, -2, and the newer agentic ARC-AGI-3 give researchers and practitioners an unusually honest lens on real reasoning progress versus brute-force scaling. Running the competition through Kaggle with over $2 million in prizes and a mandatory open-source requirement for winners is a smart way to keep the field's best ideas public rather than locked inside a single lab. Everything here, datasets, leaderboards, and competition materials, is free and open, funded by donations rather than a product to sell. For anyone tracking genuine AI reasoning capability rather than benchmark gaming, this is close to essential.