Coronavirus–ACE2 Cell-Entry ScreenBrowse 284 families
Coronavirus–ACE2 Cell-Entry Screen
Can the model reason accurately about difficult scientific material?
- Domain
- Science
- Ranked models
- 2
- Reported values
- 2
- 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-5.6 SolOpenAI | reportedcost n/a1 value · Sep 3 · source | 0.43 |
| 2 | GPT-6 AstraOpenAI | reportedcost n/a1 value · Sep 3 · source | 0.42 |
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. Composite score reported by OpenAI for held-out cell-entry measurements.
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OpenAI reports GPT-6 Astra at 0.42 versus GPT-5.6 Sol at 0.43 on an unpublished dataset involving three bat coronaviruses and 35 mammalian ACE2 proteins; a helpful-only Astra model is 0.45 and is retained separately.
Method / source ↗