Introducing new capabilities to GPT-Rosalind

Update on September 11, 2026: GPT‑Rosalind, our specialized model for life sciences research, is coming out of research preview and is now available globally to eligible organizations through our trusted-access program. All eligible organizations will continue to get access to the latest Rosalind models as they’re released. Published pricing will take effect on October 5, 2026. Review GPT‑Rosalind pricing⁠⁠(opens in a new window).

We’re introducing a new model update to our GPT‑Rosalind series purpose-built for life sciences research at enterprise scale. It combines GPT‑5.5’s agentic coding and tool-use capabilities with stronger model intelligence in core drug-discovery domains such as medicinal chemistry and genomics, while advancing performance across broader life sciences analysis, design, and experimental workflows.

Progress in life sciences depends on synthesizing data and evidence across scales and modalities: molecules, genes, pathways, and living systems. In our evaluations, the updated GPT‑Rosalind shows broad performance gains on research tasks from biology experts, complex medicinal chemistry queries, quantitative biology, and wet lab troubleshooting.

GPT‑Rosalind is available to eligible organizations globally through our trusted-access deployment structure.

Improving performance on scientifically-valuable tasks

Stronger scientific reasoning

Medicinal chemistry

GPT‑Rosalind achieves industry-leading performance in medicinal chemistry, a field focused on turning molecules into useful drugs. We designed MedChemBench to reflect realistic medicinal chemistry workflows, evaluating multimodal chemical structure understanding; structure-activity relationship (SAR); prediction of drug potency, toxicity, and absorption, distribution, metabolism, excretion (ADME); multiparameter lead-optimization decision-making; and retrosynthesis. GPT‑Rosalind out-performs GPT‑5.5 at 27.5% vs. 25.1% on MedChemBench, while using 7.2% fewer tokens.