language model

A language model predicts the next token over text — the mechanism behind every LLM you would evaluate. Modern ones are Transformer-based and autoregressive; the practical differences you compare, like capability, context window, price, and latency, come from scale, training data, and tuning rather than the underlying next-token objective.