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GPT-Rosalind

OpenAI · GPT

OpenAI's life-sciences research preview model for biology, drug discovery, and tool-heavy scientific workflows.

Part of GPT family · Other versions: GPT-5.5 Pro , GPT-5.5 , GPT-5.4 mini , GPT-5.4 nano , GPT-5.4-Pro , GPT-5.4 , GPT-5.3 , GPT-5.3-Codex , GPT-5.2-Codex , GPT-5.2-Pro , GPT-5.2 , GPT-5-Codex , GPT-5 mini , GPT-5 , GPT-5 nano , GPT-4.1 , GPT-4o mini Transcribe , GPT-4o mini TTS , GPT-4o Transcribe , GPT-4o mini , GPT-4o
Type
language
Context
N/A
Max Output
N/A
Status
preview
API Access
Yes
License
proprietary
scientific-research life-sciences biology genomics protein-reasoning tool-use preview
Released April 2026 · Updated April 18, 2026

Overview

Freshness note: Model capabilities, access, and rollout details can change quickly. This profile is a point-in-time snapshot last verified on April 18, 2026.

GPT-Rosalind is OpenAI’s new life-sciences research model, announced on April 16, 2026. OpenAI presents it as a separate model line built for biology, drug discovery, translational medicine, and the tool-heavy research workflows around them.

OpenAI is positioning GPT-Rosalind for qualified enterprise research teams rather than for general assistant use. The launch centers on early discovery work where researchers need better evidence synthesis, stronger reasoning across biological entities, and tighter coordination across scientific tools and data sources.

Capabilities

GPT-Rosalind is meant for scientific tasks such as literature synthesis, target discovery, target validation, genomics interpretation, pathway analysis, experimental planning, and tool-backed reasoning across biology workflows. OpenAI’s public materials emphasize stronger performance on protein understanding, chemistry-heavy reasoning, and multi-step research tasks that need both synthesis and tool use.

The launch also matters operationally because GPT-Rosalind arrives with a Life Sciences research plugin for Codex. OpenAI says that plugin gives researchers access to more than 50 scientific tools and data sources, which makes GPT-Rosalind more than a chat-only research model.

Technical Details

OpenAI’s public launch and help materials currently do not publish a normal public model-card style spec for context window, max output, or standard token pricing. In this repository, contextWindow: 0 and maxOutput: 0 are stored intentionally and should be read as N/A or unpublished for now, not as literal capability limits.

What OpenAI does publish clearly is workflow shape: GPT-Rosalind is delivered through ChatGPT Enterprise, Codex, and the API for qualified organizations, and it is tuned for tool-heavy scientific reasoning rather than general productivity use.

Pricing & Access

Access is currently restricted to eligible U.S. customers with Enterprise agreements and legitimate life-sciences research use cases. OpenAI says organizations must meet safety, governance, and compliance requirements, and individual researchers are not currently supported.

During the research preview, OpenAI says GPT-Rosalind does not consume existing paid tokens or enterprise credits, subject to usage limits and abuse guardrails. That is useful rollout information, but it is not the same thing as published long-term pricing.

Best Use Cases

Use GPT-Rosalind for governed internal research workflows in biology and life sciences, especially when the job involves literature synthesis, multi-step hypothesis work, scientific tool use, or early discovery analysis over complex internal and external datasets.

Do not treat it as a general-purpose replacement for GPT-5.4 in everyday coding, writing, or business workflows. Its value comes from domain fit, not from being the new universal OpenAI default.

Comparisons

  • GPT-5.4 (OpenAI): Better general frontier route for professional work, coding, and broad tool use outside life-sciences specialization.
  • Claude Opus family (Anthropic): Stronger fit for general high-end reasoning and coding workflows, but not positioned as a dedicated life-sciences model line.
  • Gemini 2.5 Pro (Google): Broad multimodal reasoning alternative when you want a general research model rather than a domain-specific scientific preview.