For Developers/Models/GPT-6 Rosalind
Closed SourcePreviewOpenAIReleased 2026-10

GPT-6 Rosalind

OpenAI's GPT-6 life sciences model, limited to approved research organizations

Context window

Not announced

Input / 1M tokens

$15.00

Output / 1M tokens

$75.00

Provider

OpenAI

Cached input $1.50 per 1M; cache writes $18.75 (30-minute) or $37.50 (12-hour). Long-context prompts cost $30.00 input / $112.50 output per 1M. Listed in the Life sciences section of OpenAI's pricing page, next to the earlier gpt-rosalind-research and gpt-rosalind-discovery models at $5/$25. OpenAI has not published the context window. · Data verified 2026-11-03

GPT-6 Rosalind (October 30, 2026) is OpenAI's newest life sciences model, which OpenAI says brings specialized biological reasoning with scientific tool use to complex life sciences research. It joins the GPT-Rosalind line OpenAI started in April 2026. Access is limited to organizations approved for Rosalind Research through OpenAI's trusted-access program, for internal research by authorized users. OpenAI lists it at $15/$75 per million tokens and has not published a context window or benchmark results.

How to access it

Restricted: available through the OpenAI API (model ID gpt-6-rosalind) only to organizations approved for Rosalind Research through OpenAI's trusted-access program, for internal research by authorized users.

Strengths

  • ✓Specialized biological reasoning with scientific tool use, per OpenAI
  • ✓Aimed at complex life sciences research workflows

Best for developers who...

Life sciences research teams at approved organizationsInternal research that combines biology reasoning with scientific tools

When to choose it (and when not to)

Reach for GPT-6 Rosalind when...

  • →Your organization is approved for Rosalind Research and needs biology-specific reasoning

Look elsewhere if...

  • ✕General-purpose tasks (use GPT-6.1 Sol or GPT-6 Astra)
  • ✕Your organization is not approved through OpenAI's trusted-access program
  • ✕Cost-sensitive work ($15/$75 per 1M tokens)

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