Specialist modelLimited access
GPT-Rosalind-5.5
OpenAI
- Released
- September 8, 2026
- Data date
- October 3, 2026
- Model class
GPT-Rosalind-5.5 is OpenAI’s specialist model for life sciences. It combines agentic tool use with medicinal chemistry, genomics, quantitative biology, and laboratory assistance. The model is multimodal and aimed at real research workflows rather than general chat use.
Eligible organizations receive global access through OpenAI’s trusted-access structure. The announced variant builds on GPT-5.5. Its safety documentation describes reviewed deployment, not open weights or an unrestricted standard API.
Specifications and access
| Specification | Value and source |
|---|---|
| Model class | Life sciences specialist modelSource |
| Access | Global trusted access for eligible organizationsSource |
| Capabilities | Medicinal chemistry, genomics, quantitative biology, and lab assistanceSource |
| Model line | Updated GPT-Rosalind variant built on GPT-5.5Source |
| Safety access | Organization access with review and approvalSource |
Measurements without matching peer values
These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.
MedChemBench pass@1 (Show measurement, test conditions, and source)
- Source value
- 27.5
- Score
- 27.5
- Metric
- percent
- Unit
- %
- Category
- life-sciences
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- OpenAI system card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Table 1; multimodal medicinal-chemistry workflow evaluation; GPT-5.5 comparator 25.1%.
GeneBench pass@1 (Show measurement, test conditions, and source)
- Source value
- 21.6
- Score
- 21.6
- Metric
- percent
- Unit
- %
- Category
- life-sciences
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- OpenAI system card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Table 2; long-horizon genomics and quantitative-biology agentic evaluation; GPT-5.5 comparator 20.4%.
LifeSciBench pass@1 (Show measurement, test conditions, and source)
- Source value
- 63.4
- Score
- 63.4
- Metric
- percent
- Unit
- %
- Category
- life-sciences
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- OpenAI system card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Table 3; externally expert-judged end-to-end life-sciences research benchmark; GPT-5.5 comparator 58.8%.
- Context
- LifeSciBench and Labwork Bench are distinct benchmarks, not competing values.
Labwork Bench pass@1 (Show measurement, test conditions, and source)
- Source value
- 63.2
- Score
- 63.2
- Metric
- percent
- Unit
- %
- Category
- life-sciences
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- OpenAI system card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Table 4; proprietary wet-lab protocol perturbation and outcome evaluation; GPT-5.5 comparator 55.8%.
- Context
- LifeSciBench and Labwork Bench are distinct benchmarks, not competing values.
Sources and data date
Every statement links to its underlying documentation or leaderboard.
| Type | Evidence and data date |
|---|---|
| Research status | Research date October 4, 2026. 2 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication. |
| Additional source | OpenAI GPT-Rosalind announcement (retrieved October 3, 2026; October 4, 2026) · OpenAI GPT-Rosalind announcement · Editorial description reviewed October 3, 2026 |
| Additional source | GPT-Rosalind deployment safety (retrieved October 3, 2026) · GPT-Rosalind deployment safety · Editorial description reviewed October 3, 2026 |
| Additional source | OpenAI system card (retrieved October 4, 2026) |