Chai-1
B+Chai Discovery
Structure PredictionComplex Predictionnon-commercial
Updated 1 month agoNextIn take
Chai-1 proved that a small startup could match DeepMind on structure prediction accuracy — now the question is whether anyone will pay for a non-commercial license when Boltz-1 is fully open.
Specifications
| Architecture | Diffusion-based with enhanced multi-chain conditioning |
| Parameters | ~500M |
| Training Data | PDB, UniRef, curated complex datasets |
| License | Weights available for non-commercial use. Commercial licensing requires agreement with Chai Discovery. |
| Hardware | 1x A100 40GB for most predictions |
| Inference Cost | Free via Chai Discovery platform (rate-limited), self-hosted for research |
| API Available | Yes |
| Weights Available | Yes |
Benchmark Performance
| Benchmark | Score |
|---|---|
| CASP15 | 0.83 GDT-TS (avg) |
When to Use This
- +Academic structure prediction research
- +Benchmarking against AF3 and Boltz with accessible weights
When NOT to Use This
- −Commercial drug discovery without a licensing agreement
- −Production deployment where MIT-licensed alternatives exist
Production Readiness
research
Known Users
- Chai Discovery internal
- Academic research groups
Grade Rationale
B+
Strong accuracy that rivals Boltz-1 and approaches AF3, with available weights for research. The non-commercial license limits production adoption, keeping it below A-tier for teams that need to ship.
Sources
Update History
2026-03-10Initial entry