KernelBenchInternal
Agents replace PyTorch operators with custom CUDA kernels. Scores combine correctness and measured speedup over a TF32 baseline.
In-house xAI suite inspired by KernelBench. Version 1.1 uses a harder task split.
- Made by
- xAI (SpaceXAI)
- Released
- August 2026
- Kind
- GPU kernels
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Code
- Tasks
- Kept private
- Strongest model tested
- Grok 4.6 #28 on the capability index
- Last in a system card
- August 2026
- Last model added
- August 2026
Grok 4.6 leads with 37.2%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
- 1 Grok 4.6 37.2%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Grok 4.6 | 37.2% | Aug 2026 | Lab model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Aug 12, 2026 | Grok 4.6 model card | 37.2 | KernelBenchInternal v1.1, harder task split, accuracy, high (5.3) | AI R&D risk |
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