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reasoning benchmark

FrontierCode 1.1 (Extended) Leaderboard

FrontierCode 1.1 (Extended) is an extended subset of agentic coding tasks graded for mergeable patches and reported separately from the Main subset.

Updated Oct 23, 2026

Models3
Model coverage3
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
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  • About
  • FAQ

FrontierCode 1.1 (Extended) Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelANClaude Sonnet 5.5AnthropicScore64.40%Percentile100.00%Participants3EvidenceCEvaluatedOct 22, 2026
Rank02ModelOPGPT-6.1 SolOpenAIScore60.40%Percentile50.00%Participants3EvidenceBEvaluatedOct 22, 2026
Rank03ModelANClaude Haiku 5.5AnthropicScore58.40%Percentile0.00%Participants3EvidenceCEvaluatedOct 22, 2026

FrontierCode 1.1 (Extended) Highlights

The leading models and scores on this benchmark.

FrontierCode 1.1 (Extended) Score Distribution

A closer view of the leading scores on this benchmark.

FrontierCode 1.1 (Extended)

The Top AI Models for FrontierCode 1.1 (Extended)

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

What is FrontierCode 1.1 (Extended)?

What FrontierCode 1.1 (Extended) measures and how its scores work.

FrontierCode 1.1 (Extended) is the extended subset of FrontierCode 1.1.

It measures performance on agentic coding tasks graded for mergeable patches, reported as Score in ratio units.

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

Family
FrontierCode 1.1 (Extended)
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 1.1 (Extended).

Which model scores highest on FrontierCode 1.1 (Extended)?

Claude Sonnet 5.5 is currently ranked first with 64.40%.

What are the top three models on FrontierCode 1.1 (Extended)?

The current leaders are Claude Sonnet 5.5 (64.40%), GPT-6.1 Sol (60.40%), and Claude Haiku 5.5 (58.40%).

Which FrontierCode 1.1 (Extended) model has the lowest official input price?

Claude Haiku 5.5 has the lowest matched official input price at $0.10 input / $0.50 output per 1M tokens.

Which models are fastest among FrontierCode 1.1 (Extended) results?

The fastest matched records are Claude Sonnet 5.5 (42.00 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 1.1 (Extended) measure?

It measures performance on agentic coding tasks graded for mergeable patches, reported as Score in ratio units.

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?

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

Rank #1Claude Sonnet 5.564.40%
Rank #2GPT-6.1 Sol60.40%
Rank #3Claude Haiku 5.558.40%

Ranking basisThis frontiercode 1.1 (extended) 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
    AN
    Claude Sonnet 5.5Anthropic
    Score
    64.40%
    Price
    $2.0 input / $10 output per 1M tokens
    Speed
    Up to 42.00 tok/s via Anthropic

    Strengths

    • Ranks #1 of 3 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures FrontierCode 1.1 (Extended), not total model capability
  2. 02
    OP
    GPT-6.1 SolOpenAI
    Score
    60.40%
    Price
    $2.0 input / $10 output per 1M tokens

    Strengths

    • Ranks #2 of 3 compared models
    • 50th percentile on this benchmark
    • B evidence result

    Considerations

    • This result measures FrontierCode 1.1 (Extended), not total model capability
  3. 03
    AN
    Anthropic
    Score
    58.40%
    Price
    $0.10 input / $0.50 output per 1M tokens

    Strengths

    • Ranks #3 of 3 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures FrontierCode 1.1 (Extended), not total model capability

Selection summary

Best AI Models for FrontierCode 1.1 (Extended)

Claude Sonnet 5.5 currently leads FrontierCode 1.1 (Extended) with 64.40%. 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 Haiku 5.5
Benchmark rank #1Claude Sonnet 5.564.40% · $2.0 input / $10 output per 1M tokens
Benchmark rank #2GPT-6.1 Sol60.40% · $2.0 input / $10 output per 1M tokens
Benchmark rank #3Claude Haiku 5.558.40% · $0.10 input / $0.50 output per 1M tokens