- MantraMindAI
- Courses
- AI Engineering & MLOps
- Token Economics and Cost Optimization
Token Economics and Cost Optimization
For engineers who run LLM features in production and need to explain, forecast and cut the bill. You will be able to measure token usage per call, price it correctly across providers, and choose between compression, caching, routing and self-hosting with the arithmetic to back the choice.
Course Content
Learn what a token really costs: how tokenizers differ, how to read the exact usage each provider bills, and how context length changes the price. 3 lessons, about 45 minutes.
Cut the bill without cutting quality: compress what you send, shorten and cache what comes back, and move each request to the cheapest model that can handle it. 3 lessons, about 50 minutes.
Build a cost dashboard that attributes every model call to the request that caused it, then use it to find where the money goes and bring a workload under budget. 1 lesson, about 20 minutes.