agents benchmark
NanoGPT
NanoGPT is an OpenAI AI-self-improvement evaluation that measures whether models can optimize training recipes for small GPT-style models, part of the suite tracking progress toward accelerating internal research.
Updated Aug 11, 2026
Models3
Model coverage3
MetricScore
EvidenceB
NanoGPT Ranking
Higher score ranks better on this benchmark.
| 01 | OP | 14.5% | 100.0% | 3 | C | |
| 02 | OP | 9.7% | 50.0% | 3 | C | |
| 03 | OP | 1.7% | 0.0% | 3 | C |
NanoGPT Score Distribution
A closer view of the leading scores on this benchmark.
NanoGPT Highlights
The leading models and scores on this benchmark.
What is NanoGPT?
What NanoGPT measures and how its scores work.
NanoGPT is an OpenAI AI-self-improvement evaluation that measures whether models can optimize training recipes for small GPT-style models, 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
- NanoGPT
- Modality
- text
- Primary category
- agents
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- nanogpt|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about NanoGPT.
Which model scores highest on NanoGPT?
GPT-5.6 Terra is currently ranked first with 14.5%.
What does NanoGPT measure?
NanoGPT is an OpenAI AI-self-improvement evaluation that measures whether models can optimize training recipes for small GPT-style models, 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.