llmboard.aiAI model intelligence
Home

Model Rankings

OverallOpen ModelsAgentCodingReasoningMathKnowledgeInstruction FollowingTextVision
Image GenerationImage Editing
Video GenerationImage to VideoVideo Editing
Text to SpeechSpeech to Text
Embeddings

Efficiency

Chat Token PricingImage PricingVideo PricingAudio Pricing
Chat Speed & LatencyProvider Reliability

Benchmarks

GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-Pro
All Benchmarks

Tools

Model Directory

Scoring & Data

Scoring & Data
1224 models729 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll Benchmarks
llmboard.aiCopyright 2026 llmboard.ai

reasoning benchmark

FrontierCode Leaderboard

FrontierCode is Cognition's coding evaluation of models on difficult coding tasks and production codebase standards.

Updated Sep 5, 2026

Models4
Model coverage4
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Distribution
  • Top models
  • About
  • FAQ

FrontierCode Ranking

Higher score ranks better on this benchmark.

4 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelXAGrok 4.6xAIScore61.30%Percentile100.00%Participants4EvidenceCEvaluatedSep 8, 2026
Rank02ModelANClaude Opus 5AnthropicScore53.40%Percentile66.67%Participants4EvidenceCEvaluatedSep 8, 2026
Rank03ModelANClaude Fable 5AnthropicScore46.30%Percentile33.33%Participants4EvidenceCEvaluatedSep 8, 2026
Rank04ModelANClaude Sonnet 5AnthropicScore38.80%Percentile0.00%Participants4EvidenceCEvaluatedSep 8, 2026

FrontierCode Highlights

The leading models and scores on this benchmark.

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.

What is FrontierCode?

What FrontierCode measures and how its scores work.

FrontierCode is a coding evaluation by Cognition, with a Diamond subset containing the hardest problems.

It measures Score as a ratio for performance on difficult coding tasks and adherence to production codebase standards.

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
No
Evaluation key
overall

LLM Stats. 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 61.30%.

What are the top three models on FrontierCode?

The current leaders are Grok 4.6 (61.30%), Claude Opus 5 (53.40%), and Claude Fable 5 (46.30%).

Which FrontierCode model has the lowest official input price?

Grok 4.6 has the lowest matched official input price at $2.0 input / $6.0 output per 1M tokens.

Which models are fastest among FrontierCode results?

The fastest matched records are Grok 4.6 (132.69 tok/s via xAI), Claude Opus 5 (62.88 tok/s via Anthropic), and Claude Fable 5 (43.18 tok/s via Anthropic).

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 FrontierCode measure?

It measures Score as a ratio for performance on difficult coding tasks and adherence to production codebase standards.

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?

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

Rank #1Grok 4.661.30%
Rank #2Claude Opus 553.40%
Rank #3Claude Fable 546.30%
Rank #4Claude Sonnet 538.80%

Ranking basisThis frontiercode 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
    XA
    Grok 4.6xAI
    Score
    61.30%
    Price
    $2.0 input / $6.0 output per 1M tokens
    Speed
    Up to 132.69 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
    53.40%
    Price
    $5.0 input / $25 output per 1M tokens
    Speed
    Up to 62.88 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
    Anthropic
    Score
    46.30%
    Price
    $10 input / $50 output per 1M tokens
    Speed
    Up to 43.18 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
    Anthropic
    Score
    38.80%
    Price
    $2.0 input / $10 output per 1M tokens
    Speed
    Up to 42.00 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 61.30%. 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.

Claude Fable 5
Claude Sonnet 5
Benchmark rank #1Grok 4.661.30% · $2.0 input / $6.0 output per 1M tokens
Benchmark rank #2Claude Opus 553.40% · $5.0 input / $25 output per 1M tokens
Benchmark rank #3Claude Fable 546.30% · $10 input / $50 output per 1M tokens