agents benchmark
KernelBench Hard
KernelBench Hard evaluates agentic GPU kernel optimization on the hardest problem set. Each question is scored by the agent's submitted operator TFLOPs relative to the theoretical peak of the current hardware, with the benchmark score being the average across all questions.
Updated Aug 11, 2026
Models1
Model coverage1
MetricScore
EvidenceB
KernelBench Hard Ranking
Higher score ranks better on this benchmark.
| 01 | MI | 28.8% | 100.0% | 1 | C |
KernelBench Hard Highlights
The leading models and scores on this benchmark.
What is KernelBench Hard?
What KernelBench Hard measures and how its scores work.
KernelBench Hard evaluates agentic GPU kernel optimization on the hardest problem set. Each question is scored by the agent's submitted operator TFLOPs relative to the theoretical peak of the current hardware, with the benchmark score being the average across all questions.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- KernelBench Hard
- Modality
- text
- Primary category
- agents
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- kernelbench-hard|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about KernelBench Hard.
Which model scores highest on KernelBench Hard?
MiniMax M3 is currently ranked first with 28.8%.
What does KernelBench Hard measure?
KernelBench Hard evaluates agentic GPU kernel optimization on the hardest problem set. Each question is scored by the agent's submitted operator TFLOPs relative to the theoretical peak of the current hardware, with the benchmark score being the average across all questions.
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.