Hosted Inference Economics on Nebius Token Factory: Latency and Cost per Task
A hosted API turns inference into a price list: dollars per million tokens, a rate limit and a catalog that changes under you. This course turns that into cost per successful task on Nebius Token Factory, a managed service for open models behind an OpenAI-compatible API. It covers the trade against self-hosting NVIDIA NIM, eval and agent-loop costs at dated prices, model deprecations, and a p50 and p95 latency protocol you run yourself. The course has not run that protocol (no Token Factory key was available), so it reports no latency as measured. Rod teaches a module for Nebius Academy; nobody paid for this course.
ToolChecked against Nebius Token Factory public model catalog and API docs on 2026-09-30.
DisclosureFriends of this site since 2026-08-20. Nobody paid for this course.
Rod Rivera
Professor
Desk
Every lesson is free. Lessons marked open need no account; the rest open once you register.
What You'll Learn
- Explain what a managed hosted API moves off your plate compared with self-hosting a container like NVIDIA NIM, and what it leaves you owning: model choice, rate limits and re-measurement
- Read what base and fast flavors, and a rate limit, do to latency and throughput, using batching and Little's law
- Compute cost per task and cost per successful task for an eval run and an agent loop from a price list, with the date each price was read
- Test a vendor's headline claim, such as a 26x cost reduction, against the price spread inside a single catalog
- Query the live catalog, its prices and its dated deprecation notices, and treat every model swap as a new measurement
- Run a latency protocol against a hosted endpoint and report time to first token, decode rate and cost per request as p50 and p95
Prerequisites
- Comfort reading Python and basic algebra; every formula is derived on the page
- A Nebius Token Factory API key (sign-up at tokenfactory.nebius.com) to run the measurement protocol; the arithmetic needs no key
- Helpful, not required: the companion course on NVIDIA NIM, which covers the self-hosted side, and the book's chapters on latency (/book/ch09-messaging) and cost (/book/ch19-operation)
Syllabus
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