Open vs Closed AI Models: What's the Difference?

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.

Practice this safely

Try this with a school, hobby, or family example where the stakes are low. Use the AI output as a draft you can question, not as the final answer.

1. 1Ask AI to explain open weights in plain language, then underline anything that sounds uncertain or too broad.
2. 2Give it one detail from "Open vs Closed AI Models: What's the Difference?" and ask for two possible next steps plus one reason each step might be wrong.
3. 3Check closed model against a trusted source, teacher, adult, expert, or original document before you use it.