What is the open weight model vs. closed weight model?

9 of 14 names confirmed · named in 2 or more of 5 answers · asked September 9, 2026 · 5 engines

The open weight model is an AI model whose trained parameters are publicly available, allowing users to download and run the model locally, while the closed weight model keeps its parameters private and is accessed only through the provider's API. The key differences between the two models lie in their accessibility, transparency, control, and customization. Open weight models offer more control and customization, but may require more infrastructure management, while closed weight models provide convenience and performance, but with limited customization and potential vendor lock-in.