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Modelby OpenAI

GPT-Rosalind

GPT-Rosalind is OpenAI's frontier reasoning model specialised for life sciences research, designed to accelerate drug discovery, genomics analysis, and protein reasoning workflows. It is available under OpenAI's Trusted Access for Life Sciences programme, targeting vetted research and pharmaceutical teams.

Provider
OpenAI
Released
Apr 16, 2026
Weights
Closed

Capabilities

  • Reasoning
  • Life Sciences
  • Code Generation
  • Scientific Analysis

Best For

  • Drug Discovery
  • Genomics Analysis
  • Protein Reasoning
  • Scientific Research Workflows
  • Bioinformatics

Overview

GPT-Rosalind is a domain-specialised AI model from OpenAI released in April 2026 under the Trusted Access for Life Sciences programme. Named after Rosalind Franklin, it is purpose-built for life sciences research workflows — including drug discovery, genomic data analysis, protein structure reasoning, and clinical research synthesis.

While primarily targeting biomedical research teams, GPT-Rosalind's advanced scientific reasoning capabilities are also relevant to engineering teams building bioinformatics tools, scientific data pipelines, and research automation platforms.

Key Capabilities

  • Life Sciences Reasoning — deep domain knowledge across molecular biology, genomics, pharmacology, and protein science
  • Drug Discovery Support — reason over molecular structures, target interactions, and clinical trial data
  • Genomics Analysis — interpret and reason about genomic datasets, variant annotations, and pathway data
  • Scientific Literature Synthesis — extract and synthesise findings from large bodies of research literature
  • Code Generation for Bioinformatics — generate Python, R, and bioinformatics scripts for data analysis pipelines

Use Cases for Engineering Teams

  • Bioinformatics Pipeline Development — generate and debug analysis scripts for genomics and proteomics workflows
  • Scientific Data Processing — process and structure large scientific datasets for downstream analysis
  • Research Tool Development — build AI-augmented research applications for drug discovery and genomics teams
  • Literature-Based Dependency Mapping — trace biological pathway dependencies in research workflows
  • Automated Research Reporting — generate structured summaries from experimental data and scientific literature

Technical Specifications

  • Context Window: Not publicly specified
  • Pricing: Available under Trusted Access for Life Sciences (pricing not public)
  • Open Weight: No
  • Release Date: 2026-04-16

Provider

GPT-Rosalind is developed by OpenAI. For the latest information, visit the official documentation.

Documentation

View Official Docs

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Tags

life sciencesscientific reasoningopenaibioinformaticsdrug discoveryfrontier
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08:28Z[DRIFT]@types/supertest@types/supertest is 4 major versions behind (spec: ^2.0.16, latest: 6.0.3).
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07:53Z[DRIFT]@types/node@types/node is 5 major versions behind (spec: ^20.19.9, latest: 25.2.3).
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