Internal Research Debugging EvaluationBrowse 296

Internal Research Debugging Evaluation

Can the model complete substantial programming work under this benchmark's agent setup?

Latest stableGPT-6 Astra System Card · September 2026
Coding1 ranked models1 reported values1 reportsHigher is better

Top rankings

One row per model, using its best reported score across effort settings.

1
RankModelBest scoreBest reported setting
1GPT-6 AstraOpenAI78.05%Reported configurationOpenAI report1 value · 1 reportSep 3, 2026 · source

Effort curve

Every sourced cost-linked effort value for this exact version. Lines connect complete sweeps only.

0
No cost-linked effort sweep for this version.
Definition and comparison boundaryinternal methodology

Can the model complete substantial programming work under this benchmark's agent setup?

Software implementation, debugging, or repository work under the published evaluation protocol. Higher is better. Percentage of internal research-debugging tasks solved under OpenAI's evaluation.

This is a publisher-defined internal evaluation. The task set or grading details are not fully public, so treat it as directional evidence.

OpenAI reports GPT-6 Astra at 78.05% on 41 real bugs from internal research experiments plus six alignment-auditing tasks; the system card says the score remains below OpenAI's indicative High-capability threshold.

Method / source