Is self-hosting always more private than a hosted API?

Self-hosting keeps request data inside a boundary you define by default, which is a genuine privacy advantage. But reputable API providers increasingly offer data-retention opt-outs, zero-retention agreements, and enterprise data-handling terms that materially close that gap for many compliance needs — and a poorly secured self-hosted deployment is not automatically more private just because it's "yours." The comparison has to be made against the specific provider's actual data terms, not an assumption either way.

Can I self-host any model I want?

Only models whose weights are actually released for you to download and run — generally described as open-weights models. Many of the most capable frontier models are only made available through a hosted API, with their weights never released publicly, which is itself one of the practical factors pushing teams that need maximum capability toward the API path.

Does self-hosting guarantee lower latency?

Not automatically. Self-hosting removes the round trip to a third party's data center, which can lower latency — but only if your own infrastructure and network are actually well provisioned for the load. Under-provisioned self-hosted infrastructure, or infrastructure geographically far from your users, can easily be slower than a well-optimized, geographically distributed hosted API.

What does quantization have to do with self-hosting?

Quantization — reducing a model's weight precision to shrink its memory footprint and speed up inference — is one of the most common techniques used specifically to make self-hosting practical, since it can let a model fit on GPUs you can actually afford to buy or rent, at some accuracy cost. It is far less relevant to the hosted-API side, where the provider handles that engineering decision internally.

Who controls model versioning with a hosted API?

The provider does. They decide when a model version is updated, when an older version is deprecated, and how much advance notice is given — which means your application's behavior can shift over time even if you never change a line of your own code. Self-hosting removes that risk entirely: your model version changes only when you deliberately update it.

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API vs. Self-Hosted Models

Two ways to run the same kind of model, with completely different bills, control, and blast radius when something goes wrong.

"Which model should we use" is only half the decision — where it runs is the other half, and it changes almost everything about the system built around it. Calling a hosted API means sending a request over the network to a provider's data center, paying per token, and never touching the weights yourself. Self-hostingmeans running inference on infrastructure you own or control, with the model's weights sitting on your own hardware. Same category of technology, opposite tradeoffs in latency, cost structure, data privacy, and who controls what version of the model you're actually running.