Benchmark
Internal Research Debugging Evaluation
The Internal Research Debugging Evaluation measures whether models can debug 41 real bugs from internal OpenAI research experiments (plus…
- Modality
- text
- Categories
- reasoning, agents, code
- Openness
- unknown
- Source
- llm_stats
- Reported scores
- 3
Reported scores
llm_stats
| Model | Organization | Reported value | Reported | Evidence |
|---|---|---|---|---|
| GPT-5.6 Luna | OpenAI | 0.508 | 2026-07-09 | evidence |
| GPT-5.6 Sol | OpenAI | 0.683 | 2026-07-09 | evidence |
| GPT-5.6 Terra | OpenAI | 0.678 | 2026-07-09 | evidence |
Scores are partitioned by the source that reported them and are never merged into a single cross-source ranking, because the sources measure different things and say so.