KernelGen 1P
Agents write and optimize GPU kernels under hardware constraints and debug correctness issues. Scored as mean rubric score.
In-house OpenAI AI self-improvement evaluation. The tasks are not public.
- Made by
- OpenAI
- Released
- June 2026
- Kind
- GPU kernels
- Level
- Research frontier
- Scored
- Graded by a model
- Answers
- Code
- Tasks
- Kept private
- Strongest model tested
- GPT-6.1 Sol #5 on the capability index
- Last in a system card
- October 2026
- Last model added
- October 2026
GPT-6.1 Sol leads with 60.4%
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 GPT-6.1 Sol 60.4%
- 2 GPT-6.1 Terra 45.3%
- 3 GPT-6 Sol 38.1%
- 4 GPT-6 Luna 21.8%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-6.1 Sol | 60.4% | Sep 2026 | Lab model card | |
| 2 | GPT-6.1 Terra | 45.3% | Oct 2026 | Lab model card | |
| 3 | GPT-6 Sol | 38.1% | Sep 2026 | Lab model card | |
| 4 | GPT-6 Luna | 21.8% | Sep 2026 | Lab model card |
2 models have held number one in labs’ own numbers since its release in June 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Labs’ model cards
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.
11 system cards report it, from 1 lab
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 |
|---|---|---|---|---|
| Oct 26, 2026 | GPT-6.1 Terra system card addendum | 45.3 | KernelGen 1P, rubric score (9.0.3.2, Figure 30) | AI R&D risk |
| Sep 29, 2026 | GPT-6.1 Sol system card addendum | 60.4 | KernelGen 1P, rubric score (average reward), printed chart label (Figure 38, 9.1.3.2) | AI R&D risk |
| Sep 22, 2026 | GPT-6 Sol system card | 38.1 | KernelGen 1P, mean rubric reward, printed chart label (Figure 85, A.8.1.3.2) | AI R&D risk |
| Sep 22, 2026 | GPT-6 Luna system card | 21.8 | KernelGen 1P, mean rubric reward, printed chart label (Figure 85, A.8.1.3.2) | AI R&D risk |
| Sep 3, 2026 | GPT-6 Astra system card | KernelGen 1P, rubric score vs output tokens, chart without printed numbers (Figure 53) | AI R&D risk | |
| Jul 9, 2026 | GPT-5.6 Terra system card | KernelGen 1P (v3), rubric score by cost and latency, chart without printed numbers (Figures 39, 40, 9.1.3.2) | AI R&D risk | |
| Jul 9, 2026 | GPT-5.6 Sol system card | KernelGen 1P (v3), rubric score by cost and latency, chart without printed numbers (Figures 39, 40, 9.1.3.2) | AI R&D risk | |
| Jul 9, 2026 | GPT-5.6 Luna system card | KernelGen 1P (v3), rubric score by cost and latency, chart without printed numbers (Figures 39, 40, 9.1.3.2) | AI R&D risk | |
| Jun 25, 2026 | GPT-5.6 Terra system card | KernelGen 1P (v3), rubric score by cost and latency, chart without printed numbers (Figures 39, 40, 9.1.3.2) | AI R&D risk | |
| Jun 25, 2026 | GPT-5.6 Sol system card | KernelGen 1P (v3), rubric score by cost and latency, chart without printed numbers (Figures 39, 40, 9.1.3.2) | AI R&D risk | |
| Jun 25, 2026 | GPT-5.6 Luna system card | KernelGen 1P (v3), rubric score by cost and latency, chart without printed numbers (Figures 39, 40, 9.1.3.2) | AI R&D risk |
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