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reasoning benchmark

ARC-AGI-3

ARC-AGI-3 is the third-generation Abstraction and Reasoning Corpus benchmark, an interactive-reasoning evaluation designed to measure fluid, novel problem-solving ability that remains far from saturated for frontier models.

Updated Aug 7, 2026

Published models4
Registry coverage4
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

ARC-AGI-3 leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

4 rows
Columns

Show columns

1ANClaude Opus 5Anthropic30.2%100.0%4CAug 7, 2026
2OPGPT-5.6 SolOpenAI7.8%66.7%4CAug 7, 2026
3OPGPT-5.6 TerraOpenAI0.8%33.3%4CAug 7, 2026
4OPGPT-5.6 LunaOpenAI0.2%0.0%4CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

ARC-AGI-3

ARC-AGI-3 highlights

The top published results on this benchmark's own scale.

Rank #1Claude Opus 530.2%Rank #2GPT-5.6 Sol7.8%Rank #3GPT-5.6 Terra0.8%Rank #4GPT-5.6 Luna0.2%

What is ARC-AGI-3?

Definition and scoring fields from the benchmark registry.

ARC-AGI-3 is the third-generation Abstraction and Reasoning Corpus benchmark, an interactive-reasoning evaluation designed to measure fluid, novel problem-solving ability that remains far from saturated for frontier models.

Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.

Family
ARC-AGI-3
Modality
multimodal
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
arc-agi-3|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

FAQ

Common questions about ARC-AGI-3.

Which model scores highest on ARC-AGI-3?

Claude Opus 5 is currently ranked first with 30.2%.

What does ARC-AGI-3 measure?

ARC-AGI-3 is the third-generation Abstraction and Reasoning Corpus benchmark, an interactive-reasoning evaluation designed to measure fluid, novel problem-solving ability that remains far from saturated for frontier models.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

4 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

Rankings

OverallCodingText ArenaPricing

Modalities

Image GenerationVideo GenerationSpeech-to-TextEmbeddings

Benchmarks

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Vendors

All VendorsOpenAIAnthropicGoogle
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