Hard-negative protein binding prediction
Can the model reason accurately about difficult scientific material?
Top rankings
One row per model, using its best reported score across effort settings.
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. Percentage of protein-binding selections scored correct by OpenAI.
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 0.0% for ordinary Astra and 7.6% for GPT-5.6 Sol on a proprietary non-contaminated evaluation with 43 protein targets and 492 hotspots; a helpful-only Astra model is also 0.0%. OpenAI is retiring this evaluation and notes an environment-variable leakage issue.
Method / source