LLM Tokens Explained: Context, Usage, and Cost Planning
Understand LLM tokens, context limits, input and output usage, and practical budgeting methods for AI applications without relying on rough word counts.
Read the field noteFOLLOW A TOPIC
LLM Tokens
LLM tokens are units used when model inputs and outputs are represented and processed. Understanding token usage helps you reason about context capacity, response length, and the usage components of a service bill.
Use the field notes below to connect llm tokens with the decisions in your own integration. Begin with a concrete task and the questions you need to answer; note the assumptions that still require confirmation in the provider’s documentation. Each guide provides a distinct explanation, practical examples, and an official source for further reading.
Field notes about LLM Tokens
Keep the wider workflow in view: explore the API directory, compare your options with the evaluation guide, or follow the developer workflow to move from a documented capability to a useful first request.