agents benchmark
Frontier-Bench v0.1 Leaderboard
Frontier-Bench v0.1 evaluates agentic terminal coding. Anthropic reports results using the mini-SWE-agent harness and a GKE backend, measured as mean reward across five attempts per task.
Updated Aug 17, 2026
Models1
Model coverage1
MetricScore
EvidenceB
Frontier-Bench v0.1 Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAN | Score43.3% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
Frontier-Bench v0.1 Highlights
The leading models and scores on this benchmark.
The Top AI Models for Frontier-Bench v0.1
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis frontier-bench v0.1 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 Opus 5Anthropic
- Score
- 43.3%
- Price
- $5.0 input / $25 output per 1M tokens
- Speed
- Up to 3.3 tok/s via Anthropic
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures Frontier-Bench v0.1, not total model capability
Selection summary
Best AI Models for Frontier-Bench v0.1
Claude Opus 5 currently leads Frontier-Bench v0.1 with 43.3%. 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 Frontier-Bench v0.1?
What Frontier-Bench v0.1 measures and how its scores work.
Frontier-Bench v0.1 evaluates agentic terminal coding. Anthropic reports results using the mini-SWE-agent harness and a GKE backend, measured as mean reward across five attempts per task.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Frontier-Bench v0.1
- Modality
- text
- Primary category
- agents
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- frontier-bench-v0.1|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Frontier-Bench v0.1.
Which model scores highest on Frontier-Bench v0.1?
Claude Opus 5 is currently ranked first with 43.3%.
What does Frontier-Bench v0.1 measure?
Frontier-Bench v0.1 evaluates agentic terminal coding. Anthropic reports results using the mini-SWE-agent harness and a GKE backend, measured as mean reward across five attempts per task.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 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.