TroubleshootingBenchBrowse 284 families
TroubleshootingBench
Can the model reason accurately about difficult scientific material?
- Domain
- Science
- 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 | 48.44% |
Effort curve
Score vs. reported cost. Lines connect complete sweeps only.
Definition and comparison boundaryinternal methodology
Can the model reason accurately about difficult scientific material?
Scientific knowledge and reasoning under the benchmark's published question set. Higher is better. Original score reported by OpenAI on expert-written troubleshooting questions.
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 48.44% for Astra and a refusal-adjusted score of 63.46% on 156 questions from 52 private protocols, with a human baseline campaign involving 12 independent PhD experts; the adjusted value is retained separately.
Method / source ↗