Codesota · Reasoning · Logical Reasoning · ARC-AGI-2Tasks/Reasoning/Logical Reasoning
Logical Reasoning · benchmark dataset · 2025 · EN

Abstraction and Reasoning Corpus for AGI (v2).

Harder successor to ARC-AGI-1, released 2025. Designed to be more resistant to test-time compute scaling. Scores reported as % on public evaluation set.

Paper ↗Submit a result ↵
§ 01 · Leaderboard

Best published scores.

3 results indexed across 1 metric. Shaded row marks current SOTA; ties broken by submission date.

Primary
accuracy · higher is better
accuracy· primary
3 rows
#ModelOrgSubmittedPaper / codeaccuracy
01Gemini 2.5 ProAPIGoogleMar 2026arcprize-leaderboard5.00
02o3APIOpenAIMar 2026arcprize-leaderboard4.00
03o4-miniAPIOpenAIMar 2026arcprize-leaderboard3.00
Fig 2 · Rows sorted by score within each metric. Shaded row marks SOTA. Dates reflect model or paper release where available, otherwise the date Codesota accessed the source.
§ 03 · Progress

1 steps
of state of the art.

Each row below marks a model that broke the previous record on accuracy. Intermediate submissions are kept in the leaderboard above; only SOTA-setting entries are re-listed here.

Higher scores win. Each subsequent entry improved upon the previous best.

SOTA line · accuracy
  1. Mar 27, 2026Gemini 2.5 ProGoogle5.00
Fig 3 · SOTA-setting models only. 1 entries span Mar 2026 → Mar 2026.
§ 06 · Contribute

Have a score that beats
this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

Submit a result ↵Read submission guide
What a submission needs
  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
  • 05A contact so we can follow up on discrepancies