The question most buyers face is not “which model is smarter?” but “which way of running it fits my data, my budget and my regulator?”. The model itself can be similar either way, but the data path, the way cost behaves and who holds the decisions are entirely different. This is a practical comparison, including the cases where the cloud is the right answer.

Cloud API

Your usersinside your network
The provider's serversevery prompt and document, often outside the country

Billed per use; the provider updates the model on its own schedule.

On-premises

Your users
Your hardwareprompts, indexes and logs

A fixed cost for capacity you size; you decide when the model changes.

The dashed line is the edge of your network. In the cloud every prompt crosses it; on-premises nothing does.

The comparison in one table

  • Where the data goes: in the cloud, every prompt and every document is sent to the provider’s servers, often outside the country. On-premises, the prompts, indexes and logs stay on your hardware.
  • How cost behaves: the cloud charges per use, so the bill grows with every conversation. On-premises is a fixed cost for infrastructure you size, which does not move with the number of conversations until you need more capacity.
  • Who controls the model: in the cloud, the provider updates or retires the model on its own schedule. On-premises, the model version is yours, and you decide when to update it, after testing.
  • Compliance: in the cloud, it depends on the provider’s terms and on cross-border transfer rules. On-premises, there is one known location, and you hold the logs.
  • Dependence: the cloud needs an internet connection and the provider to be up. On-premises works even on an isolated network.
  • Who runs it: in the cloud, the provider. On-premises, your team, or a partner who deploys and runs it with you.

Cost: how to find the break-even point for your case

There is no single number that fits everyone, but the logic is simple. The monthly cloud cost is roughly the number of conversations × the average size of each conversation × the provider’s unit price. Double the usage and the bill doubles. The on-premises cost is the hardware and its operation spread over its life, and it stays flat however much usage grows within its capacity.

So draw two lines: the cloud line rises with usage, and the on-premises line is flat. Where they cross is the break-even point. Below it the cloud is cheaper; above it on-premises is cheaper, and the gap widens as usage grows. To find it you need three numbers of your own: expected monthly conversations today and in a year, their average length, and the unit price of the provider you are comparing against.

Monthly cost Monthly usage →
  • Cloud: grows with every conversation
  • On-premises: flat within its capacity
  • Before the break-even point: the cloud is cheaper
An illustration, not a quote: where the lines cross depends on your number of conversations, their length and the provider’s price.

When the cloud is the better choice

  • For a prototype: to test an idea quickly before any investment.
  • When usage is low: below the break-even point, paying per use is cheaper.
  • When the data is not sensitive: public content, or data with no transfer restrictions.
  • When nobody can run it: no technical team and no partner to operate it.

And when on-premises fits better

  • When the data is sensitive or regulated: banking, health and government data, as with Saudi Arabia’s localisation draft and Qatar’s special-category data rules.
  • When usage is high and continuous: contact centres and customer service, where conversations pass the break-even point quickly.
  • When you need a fixed version: a system a regulator signed off should not change without testing.
  • When you work on an isolated network: there is no cloud option at all.

Where we stand

We build for the second case. Orchestra is an Arabic model that runs inside your data centre or in an in-country private cloud, and our engineers deploy and run it with you, so you do not need a full team from day one. And if your case sits below the break-even point, we will tell you so. More in what an on-premises LLM is.

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