Open-Source LLMs: When Self-Hosting Actually Makes Sense

Self-hosting an open-source model is a real option now, but it’s not automatically the “cheaper” or “better” choice. Here’s an honest look at when it pays off.

The appeal

No per-token API cost once running, full control over data, and no dependency on a third party’s uptime, pricing changes, or policy updates.

The real cost you’re taking on

GPU infrastructure, ongoing maintenance, and the engineering time to keep a model serving reliably at the latency your product needs. This is a genuine cost center, not a one-time setup.

When it actually makes sense

High, predictable request volume where the infrastructure cost is lower than equivalent API spend, strict data residency requirements, or a specific need to fine-tune deeply in ways a closed API doesn’t allow.

When it usually doesn’t

Early-stage products with uncertain or low volume, where API costs are still small relative to the engineering time self-hosting would consume.

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