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.
Qwen3.7 Max from Alibaba Cloud / Qwen Team currently leads the Kernel Bench L3 leaderboard with a score of 0.960 across 1 evaluated AI models.
Qwen3.7 Max leads with 96.0%.
Progress Over Time
Interactive timeline showing model performance evolution on Kernel Bench L3
Kernel Bench L3 Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Qwen3.7 MaxNew Alibaba Cloud / Qwen Team | — | 1.0M | $1.25 / $3.75 |
FAQ
Common questions about Kernel Bench L3.
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