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Open-weight models vs Closed models
Open-weight vs closed AI models explained with a hands-on test: privacy, cost, control and quality on your own tasks.
What is actually different
- Open-weight models can run locally or on many providers, giving control and privacy options.
- Closed models are used through the maker’s app or API and often lead on frontier capability.
- Licences differ — read terms before commercial use.
The 20-minute test
Run the same three tasks on both. Use your own real material where you can.
- Run the same prompt on an open model (Groq/Ollama) and a closed model.
- Check whether you can run it offline.
- Compare costs for 1,000 requests with the calculator.
Score each answer (0–2 each)
| Criterion | Open-weight models | Closed models |
|---|---|---|
| Correct (facts check out) | ||
| Complete (nothing important missing) | ||
| Clear (easy to use as is) | ||
| Followed the format | ||
| Speed / reliability |
Quick decision
Choose Open-weight models if privacy, control or offline use matter most.
Choose Closed models if you need the strongest capability with the least setup.
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Questions people ask
Is Open-weight models better than Closed models?
It depends on your tasks. Run the 20-minute test with your own material: the one that scores higher on your work is better for you.
Are these results sponsored?
No. There are no affiliate links, and the method is designed so you get your own evidence.