Tacit Knowledge and TroubleshootingBrowse 284 families
Tacit Knowledge and Troubleshooting
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 | 63.33% |
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 an internal multiple-choice 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 63.33% for Astra and a refusal-adjusted score of 90.00% on an uncontaminated internal 60-question Gryphon Scientific set; the adjusted value is retained in a separate benchmark row.
Method / source ↗