# GPT-Rosalind-6: OpenAI's trusted-access biology model runs on GPT-6 Astra weights

Canonical: https://theagenticweekly.com/news/gpt-rosalind-6-life-sciences-model · Evidence: Reported · First seen: 2026-11-02 17:00 UTC · Source published: not stated by the source · Brief published: 2026-11-02 17:11 UTC · Updated: 2026-11-02 17:11 UTC · Author: Agentic Weekly

> GPT-Rosalind-6 is OpenAI's frontier reasoning model for biology, drug discovery and translational medicine, offered only through trusted access; its system card addendum, published October 30, 2026, says it "uses the same weights as GPT-6 Astra". OpenAI reports single-attempt success of 37.7% on GeneBench Pro v13, up from 16.7% for GPT-Rosalind-5.5.

Models in this brief: [GPT-Rosalind-6](https://theagenticweekly.com/models/gpt-rosalind-6)

## What changed

- OpenAI's addendum says GPT-Rosalind-6 uses the same weights as GPT-6 Astra with no added training data or extra post-training; the change is fewer refusals on dual-use biology for vetted users.
- On OpenAI's own life sciences benchmarks at the highest reasoning budget, it reports 49.6% on MedChemBench v7 (GPT-Rosalind-5.5: 28.9%) and 61.3% on LifeSciBench Gold (44.0%).
- GeneBench Pro v13 single-attempt success is reported at 37.7% versus 16.7% for GPT-Rosalind-5.5, using a benchmark-specific configuration that OpenAI says differs from production.
- OpenAI treats the launch as High capability in the biological and chemical domain, below Critical, and as Critical in cybersecurity, inheriting GPT-6 Astra's assessment there.
- Access is limited to approved customers after review of mission, use case, governance and security; the addendum says this release does not broaden eligibility beyond earlier announcements.
- Who it matters for: life sciences teams already approved for GPT-Rosalind Research. Everyone else cannot use it, and developers on GPT-6 Astra get no new model weights from this release.

## In the source's words

> "GPT-Rosalind-6 uses the same weights as GPT-6 Astra. We did not add training data or perform additional post-training for this release."
> (OpenAI, GPT-Rosalind-6 System Card Addendum, https://deploymentsafety.openai.com/gpt-rosalind-6)

> "At the highest reasoning budget tested, single-attempt success rates were 37.7% for GPT-Rosalind-6 and 16.7% for GPT-Rosalind-5.5."
> (OpenAI, GPT-Rosalind-6 System Card Addendum, section 3.2, https://deploymentsafety.openai.com/gpt-rosalind-6)

> "GPT-Rosalind-6 is available only to approved customers."
> (OpenAI, GPT-Rosalind-6 System Card Addendum, section 4.2.1, https://deploymentsafety.openai.com/gpt-rosalind-6)

## What we have not verified

- We did not run this release ourselves, and we cannot: it is available only to approved organizations.
- All benchmark scores are OpenAI's own, on benchmarks run by OpenAI; we found no independent results.
- The addendum gives a publication date (October 30, 2026) but no time of day, so the source publish time is left blank. We first saw it on November 2, about three days later.
- The addendum does not state pricing, an API model identifier or a context window; OpenAI's help center page on GPT-Rosalind blocked our automated fetch, so we have not used it as a source.

## Timeline

- Source published: not stated by the source
- First seen by our watcher: 2026-11-02 17:00 UTC (via Hacker News front page (AI posts))
- Brief published: 2026-11-02 17:11 UTC

## Sources

- [OpenAI Deployment Safety Hub: GPT-Rosalind-6 System Card Addendum](https://deploymentsafety.openai.com/gpt-rosalind-6) (primary source) (fetched 2026-11-02)

## Related

- [GPT-Rosalind-6: specs, price and alternatives](https://theagenticweekly.com/models/gpt-rosalind-6)
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## How to cite

Agentic Weekly, "GPT-Rosalind-6: OpenAI's trusted-access biology model runs on GPT-6 Astra weights", published 2026-11-02 17:11 UTC, https://theagenticweekly.com/news/gpt-rosalind-6-life-sciences-model