Monday, 12 October 2026
Anawords
Research desk
Models & LaunchesDeveloping story

OpenAI lists an unannounced GPT-Rosalind life sciences model on its API pricing page

A model called gpt-rosalind-discovery now appears next to gpt-rosalind-research on OpenAI's pricing page, at the same price. OpenAI has not published a post or system card explaining what it does.

By Mayank Sahu, Founder & Editor
Sources checked by AI · approved for publication by the author
Published
1 min read · 3 sources
Anawords graphic: GPT-Rosalind. New discovery model appears on OpenAI pricing page. Confirmed by official source.
Built by Anawords from the facts in this story. Not an official company image. Graphic: Anawords

How this story was checked

  1. ResearchedWith AI assistance · 3 sources
  2. AI source checkEach sentence matched to its source
  3. Editor approvalMayank Sahu · 12 Oct, 18:41
  4. Published12 Oct, 18:41
Read the research behind this story3 sources read · 3 used · what we could not verify · published 12 Oct, 18:31 →

In short

OpenAI's API pricing page lists a model named gpt-rosalind-discovery in a 'Life sciences models' section, priced at $5 per million input tokens and $25 per million output tokens, the same as gpt-rosalind-research. TestingCatalog reported the listing on 10 October 2026; OpenAI has not announced the model.

OpenAI's pricing page lists gpt-rosalind-discovery in a 'Life sciences models' section.1

What the pricing page shows

OpenAI's API pricing page has a "Life sciences models" section that lists two models: gpt-rosalind-research and gpt-rosalind-discovery.1 Both are priced at $5.00 per million input tokens, $0.50 per million cached input tokens and $25.00 per million output tokens.1 The page says eligible organisations "will continue to get access to the latest GPT-Rosalind models as they're released."1

TestingCatalog reported the new listing on 10 October 2026.3

What OpenAI has not said

TestingCatalog said it found no blog post, help article or system card for gpt-rosalind-discovery, so its purpose is not confirmed.3 The name may suggest drug discovery, but OpenAI has not said so.3

Background on GPT-Rosalind

OpenAI introduced GPT-Rosalind on 16 April 2026 as "our frontier reasoning model built to support research across biology, drug discovery, and translational medicine".2 Access is through a trusted-access programme with a qualification and safety review.2 In a 11 September update, OpenAI said the model was coming out of research preview and becoming available globally to eligible organisations, with published pricing from 5 October 2026.21

Why it matters

GPT-Rosalind is OpenAI's model line for life sciences, and access is restricted. A second listed model suggests the line is expanding, but OpenAI has not explained how the two models differ.13

Fact ledger

How labels work
Confirmed · 3
OpenAI's pricing page lists gpt-rosalind-discovery in a 'Life sciences models' section.Source 1
Both Rosalind models cost $5 input, $0.50 cached input and $25 output per million tokens.Source 1
GPT-Rosalind left research preview on 11 September, with pricing from 5 October 2026.Source 1,2
Unconfirmed · 1
No blog post, help article or system card for gpt-rosalind-discovery had been published as of 10 October.Source 3
Not known · 1
What gpt-rosalind-discovery is designed to do.Not announced

Questions readers ask

What is gpt-rosalind-discovery?

OpenAI has not said. It is listed on the pricing page next to gpt-rosalind-research at the same price.

Can anyone use it?

GPT-Rosalind models are offered through OpenAI's trusted-access programme for eligible organisations.

How much does it cost?

$5 per million input tokens, $0.50 per million cached input tokens and $25 per million output tokens, per the pricing page.

Sources

  1. 1OpenAI API pricing
    Checked 12 Oct 2026    OFFICIAL
  2. 2OpenAI: Introducing GPT-Rosalind
    Checked 12 Oct 2026    OFFICIAL
  3. 3TestingCatalog: OpenAI lists new GPT-Rosalind Discovery model in docs
    Checked 10 Oct 2026    OUTLET

Updates and corrections

v112 Oct 2026, 18:41First published. Research note published first. Sources checked by AI; approved for publication by the editor.

Written and approved by

Mayank Sahu, Founder & Editor

Mayank Sahu is an SEO expert who loves using AI and learning how it works. He started Anawords because he felt the market was missing the best AI articles: clear, sourced and honest about what is confirmed and what is only claimed. He leads the research for each story with AI tools, checks it against its sources and approves it before it goes live. Each story says how it was checked.

ProfileFact-check policyAI policy
See a mistake, or named in this story? We reply within 24 hours. Report an error