Internal Research Debugging EvaluationBrowse 284 families
Internal Research Debugging Evaluation
Can the model complete substantial programming work under this benchmark's agent setup?
- Domain
- Coding
- Ranked models
- 1
- Reported values
- 1
- Reports
- 1 · lab
- Direction
- Higher is better
- Status
- Latest stable
Rankings
Best reported score per model across effort settings
| # | Model | Best setting | Score |
|---|---|---|---|
| 1 | GPT-6 AstraOpenAI | reportedcost n/a1 value · Sep 3 · source | 78.05% |
Effort curve
Score vs. reported cost. Lines connect complete sweeps only.
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 ↗