BlogLLM Benchmark Scores as Published, Side by Side
NanoGPT: Results as Published
Every result the catalog holds for NanoGPT: 4 models from 1 developer, read from 1 page. Each number is as printed by the company named beside it; nothing is ranked or rescored. Models are listed by developer, newest first.
Area ML EngineeringMaintainer OpenAIIntroduced 2026Data version 2026103001, as of 2026-10-30
An internal OpenAI evaluation named after the small NanoGPT language model training setup, listed with the self-improvement evaluations on the GPT-5.6 release page. The page prints only the name and a percentage per model; what the agent must do with the training run is not stated.
Not checked against a maintainer's page.
NanoGPT
| Model | Value | Printed by | Setup as printed |
|---|---|---|---|
| GPT-5.6 LunaOpenAI, released 2026-07-09 | 1.66% | OpenAI, GPT-5.6: Frontier intelligence that scales with your ambitionchecked 2026-10-15 | - |
| GPT-5.6 SolOpenAI, released 2026-07-09 | 9.69% | OpenAI, GPT-5.6: Frontier intelligence that scales with your ambitionchecked 2026-10-15 | - |
| GPT-5.6 TerraOpenAI, released 2026-07-09 | 14.5% | OpenAI, GPT-5.6: Frontier intelligence that scales with your ambitionchecked 2026-10-15 | - |
| GPT-5.5OpenAI, released 2026-04-23 | 2.65% | OpenAI, GPT-5.6: Frontier intelligence that scales with your ambitionchecked 2026-10-15 | - |
Every number here is read from the same catalog file as the benchmark table, data version 2026103001, and is the number the table shows for that model and test. Where one page printed a model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.