ProtocolQA Open-EndedBrowse 284 families
ProtocolQA Open-Ended
Can the model reason accurately about difficult scientific material?
Version / measure
- 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 | 41.36% |
Effort curve
Score vs. reported cost. Lines connect complete sweeps only.
No cost-linked effort sweep for this version.
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. Score reported by OpenAI on the open-ended troubleshooting version.
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 41.36% for Astra, with a refusal-adjusted score of 45.37%, on 108 short-answer questions modified from FutureHouse's ProtocolQA dataset and benchmarked against 19 PhD scientists.
Method / source ↗