agents benchmark
Kernel Bench L3
Kernel Bench L3 evaluates agentic GPU kernel optimization across 50 problems. Qwen reports two metrics for this benchmark: median per-problem speedup over the PyTorch eager reference and the fraction of problems faster than torch.compile.
Updated Aug 11, 2026
Models1
Model coverage1
MetricScore
EvidenceB
Kernel Bench L3 Ranking
Higher score ranks better on this benchmark.
| 01 | AC | 96.0% | 100.0% | 1 | C |
Kernel Bench L3 Highlights
The leading models and scores on this benchmark.
What is Kernel Bench L3?
What Kernel Bench L3 measures and how its scores work.
Kernel Bench L3 evaluates agentic GPU kernel optimization across 50 problems. Qwen reports two metrics for this benchmark: median per-problem speedup over the PyTorch eager reference and the fraction of problems faster than torch.compile.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Kernel Bench L3
- Modality
- text
- Primary category
- agents
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- kernel-bench-l3|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Kernel Bench L3.
Which model scores highest on Kernel Bench L3?
Qwen3.7 Max is currently ranked first with 96.0%.
What does Kernel Bench L3 measure?
Kernel Bench L3 evaluates agentic GPU kernel optimization across 50 problems. Qwen reports two metrics for this benchmark: median per-problem speedup over the PyTorch eager reference and the fraction of problems faster than torch.compile.
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.