Glossary · Term
AI model
An AI model is the engine or version that processes a prompt and generates an answer. Different tasks need different levels of model strength.
An AI model is the engine that reads a user prompt and calculates an answer. A single AI service may offer light, balanced, and stronger reasoning models.
Choosing a model is not about always using the strongest one. It means matching the model to task difficulty, failure cost, required accuracy, and budget.
✅ Why it matters
- Lets you balance cost and quality by task type
- Simple work can be handled quickly and cheaply
- Important work can use stronger models to reduce retries
⚠️ Limits and debates
- Model names and capabilities differ by service
- Overusing light models can increase errors in important decisions