BlogLLM Benchmark Scores as Published, Side by Side
RSI Index (OpenAI): Results as Published
Every result the catalog holds for RSI Index (OpenAI): 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
OpenAI's internal RSI Index is an aggregate over a bundle of evaluations that measure progress toward recursive self-improvement: a model doing the work of AI research, from debugging and kernel optimization to running experiments and improving another model. The release page reports it as one percentage per model.
RSI Index (OpenAI)
| Model | Value | Printed by | Setup as printed |
|---|---|---|---|
| GPT-5.6 LunaOpenAI, released 2026-07-09 | 41.9% | OpenAI, GPT-5.6: Frontier intelligence that scales with your ambitionchecked 2026-10-15 | - |
| GPT-5.6 SolOpenAI, released 2026-07-09 | 57.9% | OpenAI, GPT-5.6: Frontier intelligence that scales with your ambitionchecked 2026-10-15 | - |
| GPT-5.6 TerraOpenAI, released 2026-07-09 | 56.3% | OpenAI, GPT-5.6: Frontier intelligence that scales with your ambitionchecked 2026-10-15 | - |
| GPT-5.5OpenAI, released 2026-04-23 | 41.7% | 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.