AlphaFold 3

AlphaFold 3 code and weights licenses

Commercial use of AlphaFold 3

Code

Yes · Permissive

Weights

No · Restricted

The code license and the weights license stand apart; a verdict on one does not carry over to the other. Quoted statements and their sources are in the license section above.

Verdicts record what sources state and are not legal advice.

Limits on outputs

• Output may not be used to train or create machine learning models or related technology for biomolecular structure prediction similar to AlphaFold 3.
  raw.githubusercontent.com · 2026-11-13

  Use Output to train or create machine learning models or related technology for biomolecular structure prediction similar to AlphaFold 3

  https://raw.githubusercontent.com/google-deepmind/alphafold3/main/WEIGHTS_PROHIBITED_USE_POLICY.md · Terms of use page · checked 2026-11-13

• The model parameters and output are available only for non-commercial use by or on behalf of non-commercial organizations such as universities, non-profits, research institutes, educational, journalism and government bodies.
  raw.githubusercontent.com · 2026-11-13

  The AlphaFold 3 model parameters and output are **only** available for non-commercial use by, or on behalf of, non-commercial organizations (*i.e.*, universities, non-profit organizations and research institutes, educational, journalism and government bodies).

  https://raw.githubusercontent.com/google-deepmind/alphafold3/main/WEIGHTS_TERMS_OF_USE.md · Terms of use page · checked 2026-11-13

• AlphaFold 3 and its output are for theoretical modeling only and are not intended, validated, or approved for clinical use.
  raw.githubusercontent.com · 2026-11-13

  AlphaFold 3 and its output are for theoretical modeling only. They are not intended, validated, or approved for clinical use.

  https://raw.githubusercontent.com/google-deepmind/alphafold3/HEAD/README.md · README · checked 2026-11-13

• Output Terms of Use (last modified 2024-11-09) forbid using AF3 output on behalf of commercial organisations or in commercial activities, including research for them.
  github.com · 2026-11-13

  Output are made available free of charge, for non-commercial use

  https://github.com/google-deepmind/alphafold3/blob/main/OUTPUT_TERMS_OF_USE.md · Dataset page · checked 2026-11-13

• Output must not be used to train or create biomolecular structure prediction models similar to AF3, including via distillation.
  github.com · 2026-11-13

  biomolecular structure prediction similar to AlphaFold 3 as made available

  https://github.com/google-deepmind/alphafold3/blob/main/OUTPUT_TERMS_OF_USE.md · Dataset page · checked 2026-11-13

• Source sentence: You must not share Output with any commercial organization.
  raw.githubusercontent.com · 2026-11-13

  You must not share Output with any commercial organization.

  https://raw.githubusercontent.com/google-deepmind/alphafold3/main/OUTPUT_TERMS_OF_USE.md · model-card-page · checked 2026-11-13

• Source sentence: Distribute Output, or disclose findings arising from using AlphaFold 3 without citing our paper:
  raw.githubusercontent.com · 2026-11-13

  Distribute Output, or disclose findings arising from using AlphaFold 3 without citing our paper:

  https://raw.githubusercontent.com/google-deepmind/alphafold3/main/WEIGHTS_PROHIBITED_USE_POLICY.md · model-card-page · checked 2026-11-13

• Source sentence: making decisions in domains that affect material or individual rights or
  raw.githubusercontent.com · 2026-11-13

  making decisions in domains that affect material or individual rights or

  https://raw.githubusercontent.com/google-deepmind/alphafold3/main/OUTPUT_TERMS_OF_USE.md · model-card-page · checked 2026-11-13

Training data

• training data No structural training data released after 30 September 2021 were used.
  pmc.ncbi.nlm.nih.gov · 2026-11-13

  No structural data used during training were released after 30 September 2021

  https://pmc.ncbi.nlm.nih.gov/articles/PMC11168924/ · peer-reviewed-paper · checked 2026-11-13

• training data Training data were enriched with AlphaFold-Multimer v2.3 predicted structures (cross-distillation).
  pmc.ncbi.nlm.nih.gov · 2026-11-13

  we use a cross-distillation method in which we enrich the training data with structures predicted by AlphaFold-Multimer (v.2.3)

  https://pmc.ncbi.nlm.nih.gov/articles/PMC11168924/ · peer-reviewed-paper · checked 2026-11-13

Running AlphaFold 3

• Weights downloadstorage.googleapis.com
• Hosted APIalphafoldserver.com
• Third-party hostinggithub.com

AlphaFold 3 versions

• unspecified (2026-06-09): code —, weights —
  github.com · 2026-11-13

  Only the code is re-licensed, the weights license and terms of use stay the same.

  https://github.com/google-deepmind/alphafold3/commit/7b197fe859 · official-change-notice · checked 2026-11-13

• AlphaFold 3 (2026-07-23): code —, weights —
  github.com · 2026-11-13

  request access to the AlphaFold 3 model parameters, please complete

  https://github.com/google-deepmind/alphafold3/commit/dd1a7badb6 · official-change-notice · checked 2026-11-13

Overlap with benchmarks

AlphaFold 3 official download addresses

• Repository or releasehttps://github.com/google-deepmind/alphafold3
• Weights pagehttps://raw.githubusercontent.com/google-deepmind/alphafold3/main/WEIGHTS_TERMS_OF_USE.md
• License filehttps://raw.githubusercontent.com/google-deepmind/alphafold3/main/LICENSE
• Paperhttps://arxiv.org/abs/2510.24670