An artificial intelligence model learns or encodes patterns that let a computer perform a defined task. Depending on its design, the model may classify information, generate text or images, reason over a problem, predict an outcome or choose an action.
Choosing a model involves more than one score. Capability, context length, token efficiency, price, deployment control and hardware support can all affect practical value. Representative tests reveal which model best fits the actual workload.
