Google DeepMindSpecialist modelResearch access
AlphaGenome 2
Summary
AlphaGenome 2 predicts how DNA sequences and variants behave in a specific cell or tissue context. Since November 11, 2026, Google DeepMind has made the system available through an API for non-commercial research. Its documentation specifies sequence windows of up to one million base pairs. This is not a token context window.
Commercial research is in a private preview. AlphaGenome 2 is intended for research and is not approved for clinical or diagnostic applications.
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All specifications
Input and output
- Input
- DNA sequence with cell or tissue context. The documented sequence window supports up to one million base pairs. This is not a token context window.
- Source: Input
Watermarking and provenance
AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.
- AI watermarking
- Unknown
- no source
- Watermarking technique
- Not known
- no source
Licence and access
- Access
- The API is available for non-commercial research. Commercial research is in private preview.
- Source: Access
- Shutdown
- None announced
- no source
Further details
- Model
- AlphaGenome 2. Google DeepMind describes it as the successor to the AlphaGenome system.
- Source: Model
- Predictions
- Regulatory effects of DNA sequences and variants across multiple cellular readouts.
- Source: Predictions
- Use limitations
- Intended for research and not approved for clinical or diagnostic applications.
- Source: Use limitations
Prices
- API costs
- Free for non-commercial use. Query rates vary with demand.Source