ARC-AGI-2 vs ARC-AGI-3

ARC-AGI-2 or ARC-AGI-3? They test different things. ARC-AGI-2 (March 2025) is static grid puzzles: infer a rule from a few examples and draw the output. ARC-AGI-3 (March 2026) is interactive games with no instructions, scored on how few actions the agent needs compared with humans. Frontier models scored under 1% on ARC-AGI-3 at launch.

Last updated 2026-10-16 · Evals Review

ARC-AGI-2ARC-AGI-3
Made byARC PrizeARC Prize Foundation
FormatStatic input/output grid puzzlesInteractive turn-based games on a 64x64 grid
What the solver getsA few solved examplesNo instructions; must explore to find the goal
ScoringExact output grid, two tries per test inputRHAE: (human actions ÷ AI actions)² per level, capped at 1.15
Human timeAbout 300 seconds per task on averageMost environments take a few minutes; 20-minute soft limit in testing
Data1,000 public training + 120 public evaluation tasks; private sets25 public demo, 55 semi-private, 55 fully private environments
SaturationIts authors believe frontier models have ARC-AGI-2 data well represented in trainingUnder 1% for frontier models at launch (Mar 2026)
ARC Prize 2026Final year of the ARC-AGI-2 trackMain track going forward
LicenseApache-2.0—

Verdict: when to use which

Use ARC-AGI-2 if you want a static, cheap-to-run abstraction test with a long history of published results.

Use ARC-AGI-3 if you want to test agents that must learn by acting, and you need a benchmark far from saturation.

Dated numbers

FAQ

Is ARC-AGI-3 harder than ARC-AGI-2?

For current AI, yes: frontier models scored under 1% at launch. Both are designed so humans can solve every task.

Can ARC-AGI-2 and ARC-AGI-3 scores be compared?

No. ARC-AGI-2 scores exact answers; ARC-AGI-3 scores action efficiency against humans.

Sources

Every row restates facts from these sources, also cited on each eval's page. A dash means not verified.

Other comparisons: SWE-bench vs SWE-bench-Live · HumanEval vs BigCodeBench · HumanEval vs LiveCodeBench · MMLU vs GPQA · AlpacaEval vs MT-Bench (LLM-as-a-judge paper) · MT-Bench (LLM-as-a-judge paper) vs LMArena (Chatbot Arena) · BEIR vs MTEB Leaderboard · WebArena vs OSWorld · HarmBench vs StrongREJECT · GAIA vs BrowseComp · SWE-Bench Pro vs SWE-bench Verified · Terminal-Bench vs SWE-bench · MMLU vs MMLU-Pro · GPQA vs Humanity's Last Exam · Ragas vs DeepEval · Terminal-Bench 2.1 vs Terminal-Bench 4.0 · LiveCodeBench vs SWE-bench · LLM-as-a-Judge vs Agent-as-a-Judge · DeepEval vs Promptfoo