Model
The trained artefact — the learned parameters plus the architecture — that turns an input into an output.
A model is what you get at the end of training: a specific set of numbers arranged in a specific structure. It is the thing you deploy, version, and call from an API. Two models with the same architecture but different training runs are different models, which is why version numbers matter.
In practice: GPT-5.6 and Claude Opus 4.8 are different models; each has its own weights, behaviour, and price.