Model
The engine behind an AI app. A model is a program trained on a huge amount of data to recognize patterns and produce answers, without being given step-by-step rules. ChatGPT is an app; the models inside it have names like GPT-5. Claude is both the app and the model family. Most apps let you switch models.
In plain English
The app is the car. The model is the engine. You can put different engines in the same car, and the same engine shows up in different cars. When someone says “Claude got better,” they usually mean a new model.1
In the real world
- The dropdown at the top of ChatGPT or Claude with names and version numbers.
- “Powered by GPT” or “Powered by Claude” in the footer of some other company’s tool.
- The sentence “it depends which model you’re on” in every AI argument.
When to use it
- Picking a plan. You’re mostly paying for which models you get.
- Finding the switch. In ChatGPT and Claude it’s the model name at the top of the chat. Click it.
- Troubleshooting. Before you blame the tool, check which model answered.
When not to use it
Don’t chase the newest model every week. Pick one that does your work well and change it when something breaks, not when a headline drops.
Good, bad, ugly
- Good: you can switch engines without switching cars.
- Bad: names are a mess. Numbers, codenames, “mini,” “pro,” “flash.”
- Ugly: apps sometimes route you to a cheaper model without saying so, and the quality dip gets blamed on “AI being dumb today.”
Key facts
- App vs model
- ChatGPT is the app. GPT is the model. Claude is both the app and the model family.
- You can switch
- Most apps have a model picker. Different models, different strengths and prices.
- Newer is not always
- Better for your task. Try two.
Common questions
Is ChatGPT a model?
No. ChatGPT is the app. The models inside it have names like GPT-5. The app decides which one answers you.
Which model should I use?
The cheapest one that does the job well. Switch to a bigger model, or one with a thinking mode, when the task is hard, and go back down when it isn't.
Why do models give different answers?
They were trained on different data, by different companies, with different tuning. Same question, different engine.
References
- What is an AI model?IBMView source
- Glossary: LLMAnthropic, Claude Platform DocsView source