LLM Reference
activeReasoning

ARC-AGI-2

Metric: Score (higher is better)

Second iteration of the Abstraction and Reasoning Corpus for AGI evaluation High benchmark score alone doesn't make a model the right pick — weigh it against pricing, API availability, and release date.

Models ranked

10

tracked on this benchmark

Score band

85.0 – 15.9

best → lowest tracked

Snapshot trend

-21.70

Nov 1 → Jul 1 · 1 models

Leaderboard

Tracked models ranked by Score (higher is better).

Compare candidates
#Model variant and provenanceScore
1
GPT-5.5
Version: ARC-AGI-2 (accuracy%)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
85.0
2
Gemini 3.1 Pro Preview
Version: ARC-AGI-2 (accuracy%)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
77.1
3
Claude Opus 4.7
Version: Listed as 'Claude Opus 4 (accuracy%)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
75.8
4
GPT-5.4
Version: llm-stats shows 0 (accuracy%)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
73.3
5
Gemini 3.5 Flash
Version: ARC-AGI-2 (accuracy%)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
72.1
6
Claude Opus 4.6
Version: ARC-AGI-2 (accuracy%)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
68.8
7
Claude Sonnet 4.6
Version: llm-stats shows 0 (accuracy%)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
58.3
8
Grok 4.20
Version: ARC-AGI-2 (accuracy%)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
53.3
9
Claude Opus 4.5
Version: Not recordedHarness: Not recordedEvaluator: Not recordedObserved: Nov 1, 2025Confidence: Not recordedSource
37.6
10
Grok 4
Version: ARC-AGI-2 / ARC-AGI V2, base Grok 4Harness: Not recordedEvaluator: Not recordedObserved: Jul 1, 2026Confidence: Not recordedSource
15.9

How to read this benchmark

This benchmark scores models where higher is better. Scores are useful for directional filtering and shortlisting — not for universal quality ranking. Prefer benchmarks closest to your workload, then validate the linked model pages for pricing, context window, and provider availability.

Trust this score when

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

Be cautious when

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

FAQ

What does the ARC-AGI-2 benchmark measure?

Second iteration of the Abstraction and Reasoning Corpus for AGI evaluation On this page it lists 10 tracked model variants where higher is better.

Is a higher ARC-AGI-2 score always better?

For this benchmark, higher is better. A high score helps you shortlist, but confirm pricing, context window, and provider availability on each model page before committing — the top scorer is not always the right pick for your workload or budget.

How current is this ARC-AGI-2 data?

This benchmark was last reviewed on May 20, 2026. The tracked score average moved -21.70 points across the last 3 snapshots.

Related benchmarks

Last reviewed: May 20, 2026

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