All benchmarks

FrontierCode v1.1 (Main)

Agentic coding

Cognition’s FrontierCode evaluation tests whether models can complete difficult coding tasks while meeting the standards of high-quality production codebases — code that is correct, maintainable and reviewable, not merely passing tests. The v1.1 Main set is 100 tasks derived from real pull requests (Cognition reports a separate 150-task Extended set), graded on held-out unit tests plus weighted code-quality rubric criteria, so an out-of-scope change can cost a model points even when it works.

Model scores

  • Fable 5.2—
  • Mythos 5.2—
  • Fable 5.150.3%
  • Fable 551.6%
  • Opus 5.554.4%
  • Opus 548.0%
  • Opus 4.846.5%
  • Sonnet 5.546.2%
  • Sonnet 542.4%
  • GPT-6 Astra53.3%
  • GPT-6.1 Sol47.6%
  • GPT-5.6 Sol47.5%
  • Grok 4.745.6%
  • GPT-5.543.0%
  • Composer 2.525.6%
  • Opus 4.738.5%
  • Gemini 3.1 Pro—
  • Mythos Preview—

Official source: FrontierCode leaderboard (Cognition)

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