agents benchmark
Kernel Bench L3 Leaderboard
Kernel Bench L3 evaluates agentic GPU kernel optimization across 50 problems.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
Kernel Bench L3 Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score96.00% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
Kernel Bench L3 Highlights
The leading models and scores on this benchmark.
The Top AI Models for Kernel Bench L3
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis kernel bench l3 AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ACAlibaba Cloud / Qwen Team
- Score
- 96.00%
- Price
- $2.5 input / $7.5 output per 1M tokens
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures Kernel Bench L3, not total model capability
Selection summary
Best AI Models for Kernel Bench L3
Qwen3.7 Max currently leads Kernel Bench L3 with 96.00%. 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 Kernel Bench L3?
What Kernel Bench L3 measures and how its scores work.
Kernel Bench L3 is a benchmark for agentic GPU kernel optimization across 50 problems.
It measures 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
- overall
LLM Stats. 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 96.00%.
What are the top three models on Kernel Bench L3?
The current leaders are Qwen3.7 Max (96.00%).
Which Kernel Bench L3 model has the lowest official input price?
Qwen3.7 Max has the lowest matched official input price at $2.5 input / $7.5 output per 1M tokens.
Which models are fastest among Kernel Bench L3 results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.