reasoning benchmark
FrontierCode 1.1
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 11, 2026
Models15
Model coverage15
MetricScore
EvidenceB
FrontierCode 1.1 Ranking
Higher score ranks better on this benchmark.
| 01 | AN | 53.5% | 100.0% | 15 | B | |
| 02 | AN | 53.4% | 92.9% | 15 | B | |
| 03 | OP | 47.5% | 85.7% | 15 | B | |
| 04 | AN | 46.5% | 78.6% | 15 | B | |
| 05 | OP | 43.0% | 71.4% | 15 | B | |
| 06 | AN | 42.7% | 64.3% | 15 | B | |
| 07 | XA | 42.4% | 57.1% | 15 | B | |
| 08 | OP | 41.3% | 50.0% | 15 | B | |
| 09 | OP | 39.8% | 42.9% | 15 | B | |
| 10 | AN | 38.5% | 35.7% | 15 | B | |
| 11 | MA | 30.1% | 28.6% | 15 | B | |
| 12 | ZA | 24.5% | 21.4% | 15 | B | |
| 13 | DE | 17.6% | 14.3% | 15 | B | |
| 14 | MI | 14.7% | 7.1% | 15 | B | |
| 15 | AC | 10.2% | 0.0% | 15 | B |
FrontierCode 1.1 Score Distribution
A closer view of the leading scores on this benchmark.
FrontierCode 1.1 Highlights
The leading models and scores on this benchmark.
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?
15 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.