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agents benchmark

KernelGen 1P

KernelGen 1P is an OpenAI AI-self-improvement evaluation that measures whether models can write and optimize compute kernels, part of the suite tracking progress toward accelerating internal research.

Updated Aug 11, 2026

Models3
Model coverage3
MetricScore
EvidenceB

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  • Distribution
  • Highlights
  • About
  • FAQ

KernelGen 1P Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

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1OPGPT-5.6 SolOpenAI61.1%100.0%3CAug 11, 2026
2OPGPT-5.6 TerraOpenAI49.2%50.0%3CAug 11, 2026
3OPGPT-5.6 LunaOpenAI22.4%0.0%3CAug 11, 2026

KernelGen 1P Score Distribution

A closer view of the leading scores on this benchmark.

KernelGen 1P

KernelGen 1P Highlights

The leading models and scores on this benchmark.

Rank #1GPT-5.6 Sol61.1%Rank #2GPT-5.6 Terra49.2%Rank #3GPT-5.6 Luna22.4%

What is KernelGen 1P?

What KernelGen 1P measures and how its scores work.

KernelGen 1P is an OpenAI AI-self-improvement evaluation that measures whether models can write and optimize compute kernels, part of the suite tracking progress toward accelerating internal research.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
KernelGen 1P
Modality
text
Primary category
agents
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
kernelgen-1p|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about KernelGen 1P.

Which model scores highest on KernelGen 1P?

GPT-5.6 Sol is currently ranked first with 61.1%.

What does KernelGen 1P measure?

KernelGen 1P is an OpenAI AI-self-improvement evaluation that measures whether models can write and optimize compute kernels, part of the suite tracking progress toward accelerating internal research.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

3 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.

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