GPT-Rosalind reaches general availability through trusted access

OpenAI's life sciences model leaves research preview for approved organisations, with restrictions on internal research use.
AI Neural Narration
48kHz StudioFish Audio Neural Engine · Natural editorial narration
Key Takeaways
- check_circleGPT-Rosalind reached general availability on 8 September.
- check_circleAccess still requires approval for internal life sciences research.
- check_circlePublished API billing starts on 5 October 2026.
General availability with restricted access
OpenAI's 8 September changelog records general availability for GPT-Rosalind, using the API identifier gpt-rosalind-research. Availability remains subject to the trusted-access programme, rather than open access for every developer.
The Help Centre describes eligible enterprise life sciences research teams using the model in ChatGPT Enterprise, Codex and the API. Approval is required. API access is intended for approved internal research workflows and is not available for customer-facing products or external commercial applications.
Research scope and billing
OpenAI describes support for biological reasoning, literature synthesis and scientific tool workflows, including early discovery and hypothesis generation. The published standard token rates are $5 input, $0.50 cached input and $25 output per million tokens. Billing begins on 5 October 2026; these are scheduled rates, not a statement that billing had already started when this page was prepared.
AZ Labs recommendation for research teams
Begin with an access and data-governance review before designing an integration. Assign an owner for the scientific question, list the permitted data sources and define what evidence a researcher needs to inspect before accepting an answer. Model output should be treated as a proposed interpretation that requires domain review.
Keep source references, tool versions and analysis parameters with the result so another researcher can reproduce the workflow. Separate a generated hypothesis from experimental evidence, and record uncertainty explicitly. For a pilot, choose a narrow literature or data-analysis task with an existing human baseline rather than attempting to automate an entire discovery programme.
Approval for a workspace should not be assumed to grant every API or product use. Verify the specific surface and workflow with OpenAI before implementation. These are AZ Labs planning recommendations, not a claim that we have access to or have evaluated GPT-Rosalind.
Frequently Asked Questions
Can anyone use GPT-Rosalind in a public application?
No. Access is approved through a trusted-access programme, and OpenAI currently excludes customer-facing products and external commercial API applications.
Related Frontier Models & Releases
Explore verified specifications, benchmark results, and route pricing across alternative models in this class.
OpenAI releases GPT-6.1 Sol: pricing, context and API details
GPT-6.1 Sol joins OpenAI's GPT-6 range. Here are the verified API details and the migration choices teams should check.
OpenAI releases GPT-6 Sol: pricing, context and API details
GPT-6 Sol joins OpenAI's GPT-6 range. Here are the verified API details and the migration choices teams should check.
OpenAI releases GPT-6 Luna: pricing, context and API details
GPT-6 Luna joins OpenAI's GPT-6 range. Here are the verified API details and the migration choices teams should check.