reasoning benchmark
FrontierCode 1.1 Leaderboard
FrontierCode 1.1 evaluates whether coding-agent changes are mergeable, using unit tests, maintainer-defined rubrics, and verifiers. Runs flagged for unfair internet use receive a zero score.
Updated Aug 17, 2026
Models16
Model coverage16
MetricScore
EvidenceB
FrontierCode 1.1 Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAN | Score53.5% | Percentile100.0% | Participants16 | EvidenceB | Evaluated |
| Rank02 | ModelAN | Score53.4% | Percentile93.3% | Participants16 | EvidenceB | Evaluated |
| Rank03 | ModelOP | Score47.5% | Percentile86.7% | Participants16 | EvidenceB | Evaluated |
| Rank04 | ModelAN | Score46.5% | Percentile80.0% | Participants16 | EvidenceB | Evaluated |
| Rank05 | ModelGO | Score43.6% | Percentile73.3% | Participants16 | EvidenceC | Evaluated |
| Rank06 | ModelOP | Score43.0% | Percentile66.7% | Participants16 | EvidenceB | Evaluated |
| Rank07 | ModelAN | Score42.7% | Percentile60.0% | Participants16 | EvidenceB | Evaluated |
| Rank08 | ModelXA | Score42.4% | Percentile53.3% | Participants16 | EvidenceB | Evaluated |
| Rank09 | ModelOP | Score41.3% | Percentile46.7% | Participants16 | EvidenceB | Evaluated |
| Rank10 | ModelOP | Score39.8% | Percentile40.0% | Participants16 | EvidenceB | Evaluated |
| Rank11 | ModelAN | Score38.5% | Percentile33.3% | Participants16 | EvidenceB | Evaluated |
| Rank12 | ModelMA | Score30.1% | Percentile26.7% | Participants16 | EvidenceB | Evaluated |
| Rank13 | ModelZA | Score24.5% | Percentile20.0% | Participants16 | EvidenceB | Evaluated |
| Rank14 | ModelDE | Score17.6% | Percentile13.3% | Participants16 | EvidenceB | Evaluated |
| Rank15 | ModelMI | Score14.7% | Percentile6.7% | Participants16 | EvidenceB | Evaluated |
| Rank16 | ModelAC | Score10.2% | Percentile0.0% | Participants16 | EvidenceB | Evaluated |
FrontierCode 1.1 Highlights
The leading models and scores on this benchmark.
FrontierCode 1.1 Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for FrontierCode 1.1
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis frontiercode 1.1 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.
- 01ANClaude Fable 5Anthropic
- Score
- 53.5%
- Price
- $10 input / $50 output per 1M tokens
- Speed
- Up to 9.1 tok/s via Anthropic
Strengths
- Ranks #1 of 16 compared models
- 100th percentile on this benchmark
- B evidence result
Considerations
- This result measures FrontierCode 1.1, not total model capability
- 02ANClaude 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 16 compared models
- 93th percentile on this benchmark
- B evidence result
Considerations
- This result measures FrontierCode 1.1, not total model capability
- 03OPGPT-5.6 SolOpenAI
- Score
- 47.5%
- Price
- $5.0 input / $30 output per 1M tokens
- Speed
- Up to 27 tok/s via OpenAI
Strengths
- Ranks #3 of 16 compared models
- 87th percentile on this benchmark
- B evidence result
Considerations
- This result measures FrontierCode 1.1, not total model capability
- 04ANClaude Opus 4.8Anthropic
- Score
- 46.5%
- Price
- $5.0 input / $25 output per 1M tokens
- Speed
- Up to 46 tok/s via Anthropic
Strengths
- Ranks #4 of 16 compared models
- 80th percentile on this benchmark
- B evidence result
Considerations
- This result measures FrontierCode 1.1, not total model capability
- 05GOGemini 3.7 FlashGoogle
- Score
- 43.6%
- Price
- $0.75 input / $3.8 output per 1M tokens
- Speed
- Up to 13 tok/s via Google
Strengths
- Ranks #5 of 16 compared models
- 73th percentile on this benchmark
- C evidence result
Considerations
- This result measures FrontierCode 1.1, not total model capability
Selection summary
Best AI Models for FrontierCode 1.1
Claude Fable 5 currently leads FrontierCode 1.1 with 53.5%. 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.
What is FrontierCode 1.1?
What FrontierCode 1.1 measures and how its scores work.
FrontierCode 1.1 evaluates whether coding-agent changes are mergeable, using unit tests, maintainer-defined rubrics, and verifiers. Runs flagged for unfair internet use receive a zero score.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- FrontierCode 1.1
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- frontiercode-1.1|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about FrontierCode 1.1.
Which model scores highest on FrontierCode 1.1?
Claude Fable 5 is currently ranked first with 53.5%.
What does FrontierCode 1.1 measure?
FrontierCode 1.1 evaluates whether coding-agent changes are mergeable, using unit tests, maintainer-defined rubrics, and verifiers. Runs flagged for unfair internet use receive a zero score.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
16 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.