INSIGHTS · BY AIDEM LABS
Self-hosting an AI model vs a managed API
Should your product run its own AI model or call a managed service such as Claude on AWS Bedrock? A plain-English comparison of cost, compliance, quality and effort.
Published October 13, 2026
What is the difference between self-hosting an AI model and using a managed API?
Self-hosting means you rent GPU servers, install an open-source model on them and run it yourself. A managed API means a provider runs the model and you send it requests, paying for each one. Claude through AWS Bedrock is an example of the second approach.
A simple way to picture it: an AI model is a very capable employee in a room who answers notes passed through the door. Self-hosting is building the room and staffing it yourself. A managed API is using someone else's room and paying per note.
Which is cheaper?
At low and moderate volumes a managed API is cheaper, because you pay only for what you use. A self-hosted model runs on a GPU server that bills around the clock whether anyone is using it or not, and it needs engineers to keep it running.
Self-hosting only wins on cost at very high, steady volume, where the price per request of an always-busy server drops below the API price. Most products never reach that point, and the ones that do can move later.
How do the two compare?
The main differences between self-hosting and a managed API are:
- Running cost: self-hosting has a fixed monthly cost; a managed API is pay-per-use.
- Engineering effort: self-hosting needs ongoing work on GPUs, scaling, updates and failures; a managed API needs almost none.
- Model quality: the strongest models are generally available only through their providers; open-source models you can host yourself are good but usually a step behind.
- Updates: a managed model is upgraded by the provider; a self-hosted one is upgraded when your team does it.
- Customisation: self-hosting allows fine-tuning the model itself; a managed API mostly does not.
- Data location: self-hosted data never leaves your servers; with a managed API it is sent to the provider under contract.
Is a managed API safe for healthcare or financial data?
It can be. The major cloud providers offer the contractual and technical controls regulated industries need, such as agreements covering health data, region-locked processing so data stays in one country, and audit logs of every request. With those in place, a managed API is often easier to evidence to an auditor than a system you built and documented yourself.
What matters is checking the specific terms for your case before you build: where data is processed, whether it is retained, whether it is used for training, and which agreements the provider will sign.
When does self-hosting make sense?
Self-hosting makes sense in three situations: when data must not leave infrastructure you control under any contract, when you need to fine-tune a model on your own data, and when volume is high and steady enough that owning the capacity is cheaper than renting it.
If none of those apply, a managed API is the better starting point. It gets a product in front of users sooner, with less to maintain, and the decision can be revisited once real usage is known.
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