AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

LLM Stats

Internal Research Debugging Evaluation

The Internal Research Debugging Evaluation measures whether models can debug 41 real bugs from internal OpenAI research experiments (plus alignment-auditing tasks), where the original solutions took experienced researchers hours to days. Passing corresponds to providing assistance that would unblock the user, including partial root-cause explanations or fixes.

Evaluation context and evidence

Source
LLM Stats
Publisher
Not recorded
Benchmark release
Not recorded
Collected
2026-08-17
Modality
text

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Original sources

Reported results 3

Shown in source observation order, not ranked. Dates retain the precision provided by the source.

ModelValueUnitProtocolReported date and basisSource
GPT-5.6 Sol0.683Not recordedNot recorded2026-07-09 · model_announcementLLM Stats
GPT-5.6 Terra0.678Not recordedNot recorded2026-07-09 · model_announcementLLM Stats
GPT-5.6 Luna0.508Not recordedNot recorded2026-07-09 · model_announcementLLM Stats