Foundation Model

A foundation model is a broadly pretrained model — usually Transformer-based — that a lab adapts into the chat, coding, embedding, or vision surfaces you actually deploy. When you pick a model you are choosing a foundation family and one of its adapted variants, so capability, price, context window, and modality all trace back to the base model and how it was tuned.