Chai-1 vs Boltz
Chai-1: Multimodal foundation model for molecular structure prediction. 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. Shared tags: structure.
| Field | Chai-1 | Boltz |
|---|---|---|
| Task | Structure prediction | Structure + binding-affinity prediction |
| Modalities | Protein, nucleotides, ligands (SMILES), modified residues, complex | Biomolecular complexes |
| MSA required | Optional (single-sequence mode supported) | Optional (MSA server flag) |
| Open weights | Yes (non-commercial); free web interface incl. commercial | Yes (MIT) |
| GPU need | Required: CUDA + bfloat16; A100/H100/L40S recommended | Recommended; CPU supported but much slower |
| License | Apache-2.0 | MIT |
| Pricing | Open source | Open source |
| Released | 2024-09-09 | 2024-11-17 |
| Paper | Link | Link |
| GitHub | GitHub | GitHub |
| GitHub stars | 2,003 | 4,255 |
| Interface | Package, Docker, Web | Package |
Specs come from each project's README, paper or official page · Chai-1 README · Chai-1 paper · Boltz README · Boltz paper. “—” means we couldn't verify it.
Add more Protein structure & design tools to this comparison →