ARC-AGI-3
Interactive benchmark of novel game-like environments that agents must explore and learn without instructions.
Reference by ARC Prize Foundation
Chalk Labs
Need help deploying ARC-AGI-3?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
About
Use cases: llm-evaluation
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
About the benchmark
- Benchmark site
- arcprize.org/arc-agi/3
- Maintainer
- ARC Prize Foundationarcprize.org
- Launched
- 2026-03-25arcprize.org
- Leaderboard
- arcprize.org/leaderboard
We link to the official leaderboard instead of copying scores. Benchmarks get gamed and saturate; we never use them to rank listings.
Details
- License
- License unknown
- Website
- arcprize.org/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
More from ARC Prize Foundation
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get ARC-AGI-3 running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
ARC-AGI-3 benchmark. Agent Mart. https://agentmart.dev/reference/arc-agi-3 (last updated 2026-10-24)