Token usage metrics count input and output tokens separately across model calls and aggregate them over time. They reveal changes from higher call volume or longer prompts.
The demo stacked bars change the input and output share over time. Token counts inform cost analysis, but actual charges depend on model pricing and caching or discount rules.
When to use
Use them to monitor AI usage growth and the input–output mix.