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reasoning benchmark

ARC-AGI-3 Leaderboard

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 17, 2026

Models4
Model coverage4
MetricScore
EvidenceB

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ARC-AGI-3 Ranking

Higher score ranks better on this benchmark.

4 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelANClaude Opus 5AnthropicScore30.2%Percentile100.0%Participants4EvidenceCEvaluatedAug 17, 2026
Rank02ModelOPGPT-5.6 SolOpenAIScore7.8%Percentile66.7%Participants4EvidenceCEvaluatedAug 17, 2026
Rank03ModelOPGPT-5.6 TerraOpenAIScore0.8%Percentile33.3%Participants4EvidenceCEvaluatedAug 17, 2026
Rank04ModelOPGPT-5.6 LunaOpenAIScore0.2%Percentile0.0%Participants4EvidenceCEvaluatedAug 17, 2026

ARC-AGI-3 Highlights

The leading models and scores on this benchmark.

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

ARC-AGI-3 Score Distribution

A closer view of the leading scores on this benchmark.

ARC-AGI-3

The Top AI Models for ARC-AGI-3

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis arc-agi-3 AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    AN
    Claude Opus 5Anthropic
    Score
    30.2%
    Price
    $5.0 input / $25 output per 1M tokens
    Speed
    Up to 3.3 tok/s via Anthropic

    Strengths

    • Ranks #1 of 4 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures ARC-AGI-3, not total model capability
  2. 02
    OP
    GPT-5.6 SolOpenAI
    Score
    7.8%
    Price
    $5.0 input / $30 output per 1M tokens
    Speed
    Up to 27 tok/s via OpenAI

    Strengths

    • Ranks #2 of 4 compared models
    • 67th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures ARC-AGI-3, not total model capability
  3. 03
    OP
    GPT-5.6 TerraOpenAI
    Score
    0.8%
    Price
    $2.0 input / $12 output per 1M tokens
    Speed
    Up to 35 tok/s via OpenAI

    Strengths

    • Ranks #3 of 4 compared models
    • 33th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures ARC-AGI-3, not total model capability
  4. 04
    OP
    GPT-5.6 LunaOpenAI
    Score
    0.2%
    Price
    $0.20 input / $1.2 output per 1M tokens
    Speed
    Up to 49 tok/s via OpenAI

    Strengths

    • Ranks #4 of 4 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures ARC-AGI-3, not total model capability

Selection summary

Best AI Models for ARC-AGI-3

Claude Opus 5 currently leads ARC-AGI-3 with 30.2%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

Benchmark rank #1Claude Opus 530.2% · $5.0 input / $25 output per 1M tokensBenchmark rank #2GPT-5.6 Sol7.8% · $5.0 input / $30 output per 1M tokensBenchmark rank #3GPT-5.6 Terra0.8% · $2.0 input / $12 output per 1M tokens

What is ARC-AGI-3?

What ARC-AGI-3 measures and how its scores work.

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. This benchmark is not independently verified and has an evidence level of B.

Family
ARC-AGI-3
Modality
multimodal
Primary category
reasoning
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
arc-agi-3|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

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 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.