Estimate monthly cost of self-hosting vs a flat-rate API.
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Plugsky is OpenAI-compatible with flat-rate plans — see pricing or start on the free plan (2 free models, no card).
The Private LLM Deployment Estimator is a free page for scoping the cost of running a private language model. It frames the four expense areas: hardware, hosting, operations and ongoing maintenance, so nothing is left out of a business case. It suits organisations with privacy, residency or control requirements that rule out public endpoints. No sign-up is required. Treat the page as an estimation framework; actual figures depend on scale, region and staffing.
Private deployment is usually justified by strict data residency, regulated data, air-gapped networks or very stable high-volume usage where hardware beats per-token pricing. Below that, a hosted API is often cheaper once staff and maintenance are counted.
Model and runtime updates, security patching, monitoring, capacity planning, power and cooling, spare GPUs and the engineer time to run all of it. These can exceed the purchase price over three years, so include them in any comparison.
It depends on the provider's terms. Plugsky's documentation covers deployment and data-handling options, and its API is OpenAI-compatible so applications migrate with minimal code changes. Match any option against your compliance requirements before committing.
Canonical pricing and plans: plugsky.com/#sec-pricing · Terms · SLA · Docs