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reasoning benchmark

ARC-AGI Leaderboard

ARC-AGI is a benchmark for general intelligence and abstract reasoning using visual grid-based transformation tasks.

Updated Oct 23, 2026

Models12
Model coverage12
MetricScore
EvidenceB

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ARC-AGI Ranking

Higher score ranks better on this benchmark.

12 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelOPGPT-6 AstraOpenAIScore98.50%Percentile100.00%Participants12EvidenceCEvaluatedOct 22, 2026
Rank02ModelOPGPT-5.5OpenAIScore95.00%Percentile90.91%Participants12EvidenceCEvaluatedOct 22, 2026
Rank03ModelOPGPT-5.4OpenAIScore93.70%Percentile81.82%Participants12EvidenceCEvaluatedOct 22, 2026
Rank04ModelOPGPT-5.2 ProOpenAIScore90.50%Percentile72.73%Participants12EvidenceCEvaluatedOct 22, 2026
Rank05ModelOPo3OpenAIScore88.00%Percentile63.64%Participants12EvidenceCEvaluatedOct 22, 2026
Rank06ModelOPGPT-5.2OpenAIScore86.20%Percentile54.55%Participants12EvidenceCEvaluatedOct 22, 2026
Rank07ModelTMInkling-SmallThinking Machines LabScore84.00%Percentile45.45%Participants12EvidenceCEvaluatedOct 22, 2026
Rank08ModelBYSeed 1.8ByteDanceScore67.90%Percentile36.36%Participants12EvidenceCEvaluatedOct 22, 2026
Rank09ModelMEMuse Glimmer-30BMetaScore66.90%Percentile27.27%Participants12EvidenceCEvaluatedOct 22, 2026
Rank10ModelMELongCat-Flash-ThinkingMeituanScore50.30%Percentile18.18%Participants12EvidenceCEvaluatedOct 22, 2026
Rank11ModelACQwen3-235B-A22B-Instruct-2507Alibaba Cloud / Qwen TeamScore41.80%Percentile9.09%Participants12EvidenceCEvaluatedOct 22, 2026
Rank12ModelBYSeed 2.0 MiniByteDanceScore29.80%Percentile0.00%Participants12EvidenceCEvaluatedOct 22, 2026

ARC-AGI Highlights

The leading models and scores on this benchmark.

ARC-AGI Score Distribution

A closer view of the leading scores on this benchmark.

ARC-AGI

The Top AI Models for ARC-AGI

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

What is ARC-AGI?

What ARC-AGI measures and how its scores work.

The Abstraction and Reasoning Corpus for Artificial General Intelligence (ARC-AGI) consists of visual grid-based tasks with 2-5 demonstration pairs and novel test inputs that require rules to be inferred and applied.

It measures general intelligence, abstract reasoning, human-like general fluid intelligence, and skill-acquisition efficiency with minimal prior knowledge, reported as a Score ratio.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
ARC-AGI
Modality
image
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

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

FAQ

Common questions about ARC-AGI.

Which model scores highest on ARC-AGI?

GPT-6 Astra is currently ranked first with 98.50%.

What are the top three models on ARC-AGI?

The current leaders are GPT-6 Astra (98.50%), GPT-5.5 (95.00%), and GPT-5.4 (93.70%).

Which ARC-AGI model has the lowest official input price?

Qwen3-235B-A22B-Instruct-2507 has the lowest matched official input price at $0.70 input / $2.8 output per 1M tokens.

Which models are fastest among ARC-AGI results?

The fastest matched records are GPT-5.2 (100.00 tok/s via OpenAI), GPT-5.4 (50.00 tok/s via OpenAI), and o3 (50.00 tok/s via OpenAI).

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does ARC-AGI measure?

It measures general intelligence, abstract reasoning, human-like general fluid intelligence, and skill-acquisition efficiency with minimal prior knowledge, reported as a Score ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

12 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1GPT-6 Astra98.50%
Rank #2GPT-5.595.00%
Rank #3GPT-5.493.70%
Rank #4GPT-5.2 Pro90.50%

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

  1. 01
    OP
    GPT-6 AstraOpenAI
    Score
    98.50%
    Price
    $10 input / $50 output per 1M tokens

    Strengths

    • Ranks #1 of 12 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures ARC-AGI, not total model capability
  2. 02
    OP
    GPT-5.5OpenAI
    Score
    95.00%
    Price
    $5.0 input / $30 output per 1M tokens

    Strengths

    • Ranks #2 of 12 compared models
    • 91th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures ARC-AGI, not total model capability
  3. 03
    OP
    OpenAI
    Score
    93.70%
    Price
    $2.5 input / $15 output per 1M tokens
    Speed
    Up to 50.00 tok/s via OpenAI

    Strengths

    • Ranks #3 of 12 compared models
    • 82th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures ARC-AGI, not total model capability
  4. 04
    OP
    OpenAI
    Score
    90.50%
    Price
    $21 input / $168 output per 1M tokens
    Speed
    Up to 25.00 tok/s via OpenAI

    Strengths

    • Ranks #4 of 12 compared models
    • 73th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures ARC-AGI, not total model capability
  5. 05
    OP
    OpenAI
    Score
    88.00%
    Price
    $2.0 input / $8.0 output per 1M tokens
    Speed
    Up to 50.00 tok/s via OpenAI

    Strengths

    • Ranks #5 of 12 compared models
    • 64th percentile on this benchmark
    • C evidence result

    Considerations

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

Selection summary

Best AI Models for ARC-AGI

GPT-6 Astra currently leads ARC-AGI with 98.50%. 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.

GPT-5.4
GPT-5.2 Pro
o3
Benchmark rank #1GPT-6 Astra98.50% · $10 input / $50 output per 1M tokens
Benchmark rank #2GPT-5.595.00% · $5.0 input / $30 output per 1M tokens
Benchmark rank #3GPT-5.493.70% · $2.5 input / $15 output per 1M tokens