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reasoning benchmark

FrontierCode Leaderboard

FrontierCode is Cognition's coding evaluation that tests whether models can pass difficult coding tasks while meeting the standards of high-quality production codebases. The Diamond subset contains the hardest problems.

Updated Aug 17, 2026

Models4
Model coverage4
MetricScore
EvidenceB

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FrontierCode Ranking

Higher score ranks better on this benchmark.

4 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelXAGrok 4.6xAIScore61.3%Percentile100.0%Participants4EvidenceCEvaluatedAug 17, 2026
Rank02ModelANClaude Opus 5AnthropicScore53.4%Percentile66.7%Participants4EvidenceCEvaluatedAug 17, 2026
Rank03ModelANClaude Fable 5AnthropicScore46.3%Percentile33.3%Participants4EvidenceCEvaluatedAug 17, 2026
Rank04ModelANClaude Sonnet 5AnthropicScore38.8%Percentile0.0%Participants4EvidenceCEvaluatedAug 17, 2026

FrontierCode Highlights

The leading models and scores on this benchmark.

Rank #1Grok 4.661.3%Rank #2Claude Opus 553.4%Rank #3Claude Fable 546.3%Rank #4Claude Sonnet 538.8%

FrontierCode Score Distribution

A closer view of the leading scores on this benchmark.

FrontierCode

The Top AI Models for FrontierCode

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

Ranking basisThis frontiercode 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
    XA
    Grok 4.6xAI
    Score
    61.3%
    Price
    $2.0 input / $6.0 output per 1M tokens
    Speed
    Up to 4.7 tok/s via xAI

    Strengths

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

    Considerations

    • This result measures FrontierCode, not total model capability
  2. 02
    AN
    Claude Opus 5Anthropic
    Score
    53.4%
    Price
    $5.0 input / $25 output per 1M tokens
    Speed
    Up to 3.3 tok/s via Anthropic

    Strengths

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

    Considerations

    • This result measures FrontierCode, not total model capability
  3. 03
    AN
    Claude Fable 5Anthropic
    Score
    46.3%
    Price
    $10 input / $50 output per 1M tokens
    Speed
    Up to 9.1 tok/s via Anthropic

    Strengths

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

    Considerations

    • This result measures FrontierCode, not total model capability
  4. 04
    AN
    Claude Sonnet 5Anthropic
    Score
    38.8%
    Price
    $2.0 input / $10 output per 1M tokens
    Speed
    Up to 11 tok/s via Anthropic

    Strengths

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

    Considerations

    • This result measures FrontierCode, not total model capability

Selection summary

Best AI Models for FrontierCode

Grok 4.6 currently leads FrontierCode with 61.3%. 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 #1Grok 4.661.3% · $2.0 input / $6.0 output per 1M tokensBenchmark rank #2Claude Opus 553.4% · $5.0 input / $25 output per 1M tokensBenchmark rank #3Claude Fable 546.3% · $10 input / $50 output per 1M tokens

What is FrontierCode?

What FrontierCode measures and how its scores work.

FrontierCode is Cognition's coding evaluation that tests whether models can pass difficult coding tasks while meeting the standards of high-quality production codebases. The Diamond subset contains the hardest problems.

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

Family
FrontierCode
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
frontiercode|llm-stats-current

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

FAQ

Common questions about FrontierCode.

Which model scores highest on FrontierCode?

Grok 4.6 is currently ranked first with 61.3%.

What does FrontierCode measure?

FrontierCode is Cognition's coding evaluation that tests whether models can pass difficult coding tasks while meeting the standards of high-quality production codebases. The Diamond subset contains the hardest problems.

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.