OpenFold3 vs Boltz
OpenFold3: Open-source AlphaFold3-style model predicting structures of proteins, nucleic acids and small-molecule complexes (preview release). Boltz: Open biomolecular interaction models (Boltz-1, Boltz-2) for complex structure and binding-affinity prediction.
Facts below come from each project's own website, repository and paper. We don't publish benchmark claims here; see the papers for evaluations.
| Field | OpenFold3 | Boltz |
|---|---|---|
| Task | Biomolecular complex structure prediction | Structure + binding-affinity prediction |
| Modalities | Protein, RNA, DNA, small molecules | Biomolecular complexes |
| MSA required | Yes (ColabFold server or local) | Optional (MSA server flag) |
| Open weights | Yes (Hugging Face) | Yes (MIT) |
| GPU need | GPU; low-memory mode and multi-GPU | Recommended; CPU supported but much slower |
| License | Apache-2.0 | MIT |
| Pricing | Open source | Open source |
| Released | 2025-10-28 | 2024-11-17 |
| Paper | — | Link |
| GitHub | GitHub | GitHub |
| GitHub stars | 897 | 4,254 |
| Interface | Package, Docker | Package |
License and commercial use
| Field | OpenFold3 | Boltz |
|---|---|---|
| Code license | Apache-2.0 | MIT |
| Weights license | — | MIT |
| Commercial use | Permissive (commercial OK) | Permissive (commercial OK) |
| Answer | Yes. The recorded license is permissive, so closed-source commercial use is allowed if you keep the notices. Details | Yes. The recorded license is permissive, so closed-source commercial use is allowed if you keep the notices. Details |
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