llmboard.ai
Benchmarks
CompareRankings
llmboard.ai
Benchmarks
CompareRankings
HomeBenchmarksreasoningFrontierCode

reasoning benchmark

FrontierCode

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 11, 2026

Models3
Model coverage3
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

FrontierCode Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

Show columns

1ANClaude Opus 5Anthropic53.4%100.0%3CAug 11, 2026
2ANClaude Fable 5Anthropic46.3%50.0%3CAug 11, 2026
3ANClaude Sonnet 5Anthropic38.8%0.0%3CAug 11, 2026

FrontierCode Score Distribution

A closer view of the leading scores on this benchmark.

FrontierCode

FrontierCode Highlights

The leading models and scores on this benchmark.

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

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?

Claude Opus 5 is currently ranked first with 53.4%.

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?

3 model results are currently shown.

Does this benchmark affect the overall score?

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

Rankings

OverallCodingText ArenaPricing

Modalities

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

Benchmarks

All BenchmarksReasoningMathCoding

Vendors

All VendorsOpenAIAnthropicGoogle
llmboard.aiCopyright 2026 llmboard.ai