Lesson 1552 of 1570
Open vs Closed AI Models: What's the Difference?
Why some AI you can download and run yourself, and others you can only rent.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The big idea
- 2open weights
- 3closed model
- 4local inference
Concept cluster
Terms to connect while reading
Section 1
The big idea
Some AI models (Llama, Mistral, Gemma, DeepSeek) you can download and run on your own computer. Others (GPT-5, Claude, Gemini) live on someone else's servers and you pay per query. Both have real tradeoffs — and the choice matters for privacy, cost, customization, and what jobs are coming.
Some examples
- Llama 3 runs on a recent MacBook with enough RAM — your data never leaves your machine.
- Closed models tend to be more capable at the frontier but cost per use and see all your prompts.
- 'Open weights' lets researchers actually inspect how models work.
- Many companies use closed models in production but experiment with open ones.
Try it!
Visit huggingface.co and look at one open model card. Notice what 'license' it has.
Key terms in this lesson
End-of-lesson quiz
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