Term: Model
~5 min read
Estimated time: ~5 min read — for the in-app brief plus opening the primary source.
What this is
A model is the trained pattern engine that turns inputs into predictions or generated content. Products like ChatGPT, Claude, and Grok are how you meet those models.
Everyday example
ChatGPT is powered by OpenAI models; Claude by Anthropic models; Grok by SpaceXAI (formerly xAI) models. Same idea — a trained pattern engine — different labs and products.
A model is the trained engine; ChatGPT, Claude, and Grok are products built on models.
- Same idea, different labs: OpenAI, Anthropic, Google, SpaceXAI.
- A product can switch models underneath without changing its logo.
- Not every model writes language — a credit-score model is still a model.
- Ask which model family, how it is evaluated, and how often it is updated.
Next action: On your next vendor call, write down the model name and version — not only the product name.
What changes in how you lead
How decision rights, process, and ownership should change.
- Model changes can change behavior; require notice in the contract.
- Purchasing compares engines, not only user-interface demos.
Compare related ideas
Model vs LLM
All LLMs are models; not all models are LLMs. A credit-risk score model may never write a sentence.
Open LLMDeep dive
In practice: the software's trained engine for a task — not a person and not a full copy of your company knowledge.
Familiar products: ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), Grok (SpaceXAI). Under each brand sit one or more models that change over time.
Ask: which model family, trained on what, evaluated how, updated how often? Material model changes can change behavior.