Open-Source vs Closed AI Models: How to Choose

The quick answer

Closed models usually lead on raw quality and convenience. Open models win on privacy, customisation and long-term cost.

A simple checklist

Ask four questions: does the data have to stay private, do you need fine-tuning, how much volume do you expect and who will maintain it?

• Private data → open or self-hosted
• Best quality quickly → closed API
• High volume → compare cost per task

Many teams use both

A common pattern is a closed model for hard reasoning and a small open model for routine, high-volume tasks.