Open-Source vs Closed AI Models: How Should You Choose?

Teams often ask whether to build on an open model or call a hosted one. The honest answer is that it depends on your constraints.

The Case for Open Models

You control where data lives, can fine-tune freely and avoid per-call pricing at scale. The trade-off is that you run and maintain the infrastructure.

The Case for Closed Models

Hosted models are quick to start, often lead on the hardest tasks and need no hardware. The trade-offs are cost at volume and less control.

A Practical Rule

Prototype on a hosted model, measure what you really need, then move to an open model if privacy, cost or customisation demand it.