ARC Prize launches ARC-AGI-3, an interactive game benchmark where frontier AI scored under 1%
The ARC Prize Foundation launched ARC-AGI-3 on 2026-03-25: novel turn-based game environments with no instructions, measuring skill-acquisition efficiency. In the preview humans solved 100% of environments while frontier LLMs scored below ~0.4% (best purpose-built agent 12.58%); ARC Prize 2026 on Kaggle offers $850K including a $700K grand prize for 100%.
Key facts
- Launched 2026-03-25 at Y Combinator, San Francisco
- Format: interactive environments; agents must learn rules by acting, with sparse feedback and no natural-language instructions
- Developer preview: humans 100%; GPT-5.4, Claude Opus 4.6, Grok 4.2 scored 0%-0.37%; best preview agent 12.58% (secondary source)
- ARC Prize 2026: $850K pool; $700K grand prize; milestone deadlines 2026-06-30 and 2026-09-30; solutions must be open-sourced
- By July: GPT-5.6 7.78%, Claude Opus 5 30.16% (ARC Prize leaderboard)
What happened
ARC-AGI-3 moved the ARC series from static grid puzzles to interactive games to test exploration, planning and learning from experience.
Why it matters
It was designed as the hardest-to-game AGI benchmark of 2026; within six months it was largely cracked (see GPT-6 Astra entry), illustrating the pace of agentic progress.
Changelog
- 2026-09-29: created
Related events
Sources (4)
- officialARC-AGI-3
- officialARC Prize 2026 — ARC-AGI-3 competition
- paperARC-AGI-3 paper (arXiv 2603.24621)
- discussionKaggle leaderboard
id: 2026-03-25-arc-agi-3-launch · updated 2026-09-29 · open in the interactive timeline