Google DeepMind
AlphaFold
Current
3.2
shipped 1mo · 9 Oct 2026
Revolutionary biomolecular model predicting structures of proteins, DNA, RNA, and ligands.
Specification
- Domain
- Proteins, nucleic acids, small molecules
- Resolution
- Atomic accuracy
- Weights
- Code & weights open for academic use
- Origin
- UK / Google DeepMind
Modalities: biology, molecular structure, chemical
AlphaFold — 6-Axis Capability Radar
HEURISTIC ESTIMATEThese scores are rough estimates from category presets, catalog specs, and keywords in release notes. They are not measured benchmarks or test results. Catalog prices and context windows may refer to a different model variant.
Hover or tap an axis to inspect its estimate
Shipping Cadence & Next Drop Forecast
This is an uncalibrated estimate from limited catalog history. A ratio of 100% means one estimated interval has elapsed; it is not a probability. Next-release dates and versions remain unconfirmed.
884 days
±7d variance33 days
Shipped on 2026-10-090.4 drops/yr
1 observed intervals · limited history2029-03-11
Next version: UnannouncedOptional AI cadence commentary
Summarize the recorded history and its limitations. Future releases remain unconfirmed.
Model Version Capability Delta
AI-synthesized architectural jumps, parameter scaling, and capability shifts across releases.
Ready to analyze AlphaFold v3 vs v3.2
Click Synthesize Diff to analyze latent space adjustments, resolution leaps, parameter shifts, and migration caveats via Gemini 3.8 Flash.
Version history
2 releases tracked
3.2
minor9 Oct 2026 · 1moAlphaFold 3.2 expands de novo molecular drug design with quantitative binding affinity scoring.
- Directly generates novel molecular binders targeting previously undruggable viral proteins.
- Integrated structural confidence scoring for RNA-protein complex interactions.
Recorded announcementSpecific source link · unverified ↗3
major8 May 2024 · 2yAlphaFold 3 predicts the structure and interactions of all of lifes molecules.
- Goes beyond proteins to model DNA, RNA, ligands, antibodies, and chemical modifications.
- Diffusion-based architecture replacing previous Evoformer.
- Available via the AlphaFold Server for molecular biologists worldwide.
Recorded announcementSpecific source link · unverified ↗