LLM Reference
ARC-AGI-2activeReasoning

ARC-AGI-2

Metric: Score (higher is better)

About

Second iteration of the Abstraction and Reasoning Corpus for AGI evaluation

How to read this benchmark

This benchmark uses a scoring system where higher is better. Scores are useful for directional filtering and model shortlisting, not for universal quality ranking.

Interpretation checklist: prefer benchmarks that are closest to your workload style, then validate against the linked model pages for pricing, context window, and provider availability.

Trust when:

  • There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
  • Model list covers the same version family you can actually deploy today.
  • Top candidates overlap with your required routing and feature requirements.

Don't trust when:

  • There is only one benchmark snapshot or the dataset appears stale.
  • Benchmark metric direction is opposite of your decision objective.
  • The score difference between options is narrow and likely within implementation variance.

Current modeled score band for tracked entries is roughly 37.6 – 37.6.

Window

Nov 1

single timestamp

Mean delta

No trend

need another snapshot

Coverage

1

models in latest snapshot

Leaderboard preview (top 5)

  1. 1. Claude Opus 4.537.6

Resources

Website