We’re bringing new capabilities to GPT-Rosalind, a model series purpose-built for life sciences research at enterprise scale. It brings GPT-5.5’s agentic coding and tool use together with stronger intelligence for drug discovery, analysis, design, and experimental workflows. https://t.co/SrAJ3Mt7ka
OpenAI integrates GPT-5.5 agentic capabilities into GPT-Rosalind for life sciences
- MedChemBench Accuracy
- 27.5 percent
- LabWorkBench Accuracy
- 63.2 percent
- GeneBench Token Efficiency
- 31 percent fewer tokens than GPT-5.5
- New Scientific Plugins
- Life Sciences Research and Life Sciences NGS Analysis
- Access Model
- Research preview for trusted organizations
This update verticalizes frontier reasoning by grounding autonomous agents in scientific data. The updated GPT-Rosalind outperforms GPT-5.5 on specialized benchmarks like MedChemBench while using fewer tokens (the fundamental unit of text processing for AI). It also leads on wet-lab protocol assistance, scoring 63.2% versus 55.8%, and uses 31% fewer tokens on genomics tasks.
Qualified organizations can access the update in research preview through a trusted-access structure. Researchers can use new Codex plugins for NGS analysis to automate tasks like RNA sequencing quality control. The system includes interactive viewers for biological file types to inspect sequences directly within the reasoning workflow.
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