ProtocolQA Open-Ended
Can the model reason accurately about difficult scientific material?
Top rankings
One row per model, using its best reported score across effort settings.
| Rank | Model | Best score | Best reported setting |
|---|---|---|---|
| 1 | GPT-6 AstraOpenAI | 41.36% | 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.
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