AlphaFold 3
All-Atom Biomolecular Prediction
DeepMind + Isomorphic Labs' May 2024 release — extends AlphaFold 2 from "predict the shape of one protein" to "predict the shape of proteins together with DNA, RNA, drugs, and ions." This is what you actually need for drug discovery, not just academic structural biology. Released open for academic use through the AlphaFold Server.
Why it matters
Made AI-driven structural biology actually useful for drug discovery, not just basic science. Extended the reach of AlphaFold's economic impact from "PDB completion" to "real therapeutic pipelines." The 2024 chemistry Nobel went to David Baker + Demis Hassabis + John Jumper for this lineage.
Core Capabilities
Science
Built for biology, chemistry, materials, weather, or math research.
Generative
Produces images, video, audio, or other media.
Vision
Understands images, scenes, and visual context.
Multimodal
Combines text, vision, and audio in one model.
Context Window
Context window not disclosed.
Availability
API
Available
Product / App
Not available
Open Source
Not released
Enterprise
Contact sales
Pricing Model
Pay per token
Input and output billed separately.
Pay-per-token What it feels like
- Vision-language model from DeepMind — see the linked sources below for benchmark and review coverage
- Vision and multimodal tasks are the typical fit per the published model card
Best use cases
- Vision tasks (charts, documents, images) per the model card
- See the model spec and sources block for benchmarked use cases
Tools to try
Not ideal for
- Tasks far outside the modalities listed in this model's spec
- Workflows where a more recent successor in the same family scores higher