--- title: "ARC-AGI-3: what it means · The AI Compute Race · DRYBURGH" source: https://dryburgh.com/vol1/glossary/arc-agi-3 description: "ARC-AGI-3: A benchmark of novel puzzles that the ARC Prize Foundation keeps as a test of general intelligence." --- # ARC-AGI-3 What does “ARC-AGI-3” mean? ARC-AGI-3A benchmark of novel puzzles that the ARC Prize Foundation keeps as a test of general intelligence. Humans score 100 percent on it, and row 7 of the Scorecard reads the best model’s score. *Chapter 3.* From *The AI Compute Race*. [Read the book](https://dryburgh.com/vol1#buy) ## Where the book uses it - [Chapter 3 — The Missing Researcher](https://dryburgh.com/vol1/notes/chapter-3)The dated promise of an AI that does its own research, what the laboratories have published, and what the public record can and cannot yet check. ## Where the record uses it - Scorecard indicator [ARC-AGI-3](https://dryburgh.com/vol1/scorecard#row-7) ## Sources that use it - ARC Prize Foundation, “Launching ARC-AGI-3,” 25 March 2026 (“Humans score 100%. Frontier AI scores 0.51%”). [In the Sources](https://dryburgh.com/vol1/sources/research#arc3) - ARC Prize Foundation, “Verified Leaderboard” for ARC-AGI-2 and ARC-AGI-3, read 29 August and 4 September 2026 (on 29 August: Claude Opus 5 (High) 30.16% on ARC-AGI-3, GPT-5.6 Sol (Max) 92.50% at $1.44 a task on ARC-AGI-2, Human Panel 100% at $17.00; on 4 September, on ARC-AGI-2: GPT-6 Astra (Max) 95.00% at $1.12 a task; the title is the board’s own heading on the site, and the figures were read from the site’s own data files, which the client-rendered page draws its figures from: the live v2.json and v3.json, generated 2026-09-04T14:38Z, and the archived copies named next, in the order of the URLs below after the board itself, which is the first URL — for the board as it stood on 29 August 2026, the Wayback Machine’s snapshot of 28 August 2026 of v3.json, built 2026-08-21, and for ARC-AGI-2 the snapshot of 19 August 2026 of v2.json, built 2026-08-13, which the later file extends without removing a row; and the live v3.json as generated 2026-10-05T19:34Z, 87 evaluations: GPT-6 Astra (Max) 62.71% on the Standard harness, GPT-6 Astra - Provider Adapter (High) 99.95% and the same adapter at Max 98.55%, which the chapter prints as 98.6, and above 96% at each of its six settings). [In the Sources](https://dryburgh.com/vol1/sources/research#arc-leaderboard) - BenchLM, ARC-AGI-3 leaderboard snapshot, 28 August 2026 (Claude Opus 5 at 30.2 percent). [In the Sources](https://dryburgh.com/vol1/sources/research#benchlm-arc3) - Greg Kamradt (ARC Prize Foundation), “OpenAI’s GPT-6 Astra on ARC-AGI-3,” ARC Prize blog, 3 September 2026 (“GPT-6 Astra scores 62.7% for $26K on ARC-AGI-3 Semi-Private with our Standard harness, and 99.9% for $19K with a Provider Adapter harness”; the post’s own table gives those two runs as 62.7% at $26,098 at max reasoning effort on the Standard harness and 99.9% at $18,817 at high effort on the Provider Adapter harness; “used fewer actions than the human baseline on 96.0% of levels”; “its ability to turn unfamiliar environments into compact symbolic world models”; “we are not claiming that it is AGI”). [In the Sources](https://dryburgh.com/vol1/sources/research#arc-astra) - Greg Kamradt, “Measuring Human Performance on ARC-AGI-3,” ARC Prize blog, 14 April 2026 (the human baseline: “ARC-AGI-3 is 100% solvable by humans”). [In the Sources](https://dryburgh.com/vol1/sources/research#kamradt-arc3-humans-2026) ## Related terms - [Benchmark](https://dryburgh.com/vol1/glossary/benchmark) - [Astra](https://dryburgh.com/vol1/glossary/astra) - [Adoption clock](https://dryburgh.com/vol1/glossary/adoption-clock) - [Agent](https://dryburgh.com/vol1/glossary/agent) - [AGI](https://dryburgh.com/vol1/glossary/agi) - [Alignment](https://dryburgh.com/vol1/glossary/alignment) - [Automated AI researcher](https://dryburgh.com/vol1/glossary/automated-ai-researcher) - [Brake, the](https://dryburgh.com/vol1/glossary/brake-the) - [Capability clock](https://dryburgh.com/vol1/glossary/capability-clock) - [Chain of thought](https://dryburgh.com/vol1/glossary/chain-of-thought) - [Checkpoint](https://dryburgh.com/vol1/glossary/checkpoint) - [Critical](https://dryburgh.com/vol1/glossary/critical) From the glossary of The AI Compute Race. - [Campuses](https://dryburgh.com/vol1/ledger) - [Tests](https://dryburgh.com/vol1/tests) - [Scorecard](https://dryburgh.com/vol1/scorecard) - [Data](https://dryburgh.com/vol1/data/releases) - [Chapter by chapter](https://dryburgh.com/vol1/companion) - [The record at a glance](https://dryburgh.com/vol1/observatory) - [The machine](https://dryburgh.com/vol1/machine) - [One campus, four futures](https://dryburgh.com/vol1/hyperion) - [Glossary](https://dryburgh.com/vol1/glossary) - [People](https://dryburgh.com/vol1/people) - [Sources](https://dryburgh.com/vol1/sources) - [Notes](https://dryburgh.com/vol1/notes) - [Where the book was wrong](https://dryburgh.com/vol1/corrections) - [Where its sources were wrong](https://dryburgh.com/corrections?book=vol1) - [The Paper](https://dryburgh.com/vol1/paper) - [Consent](https://dryburgh.com/vol1/consent) - [Who builds and pays](https://dryburgh.com/vol1/parties) *The AI Compute Race: Five Races, One Machine* is a book by Lee S. Dryburgh, the first volume of THE COMPUTE ECONOMY, published by Dryburgh, an imprint of Contestra OÜ, Tallinn, Estonia; its record closes on 8 November 2026. [About the book](https://dryburgh.com/vol1)[Tell me when it is out](https://dryburgh.com/vol1#notify)