AI cost calculator 2026
Token cost in 2026
The cost of an AI agent depends less on a single call than on repeated steps: context, tools, reasoning, validation, and retries. To control token cost, measure input volume, output volume, and workflow repetition.
Variables that move the bill
The main levers are model choice, context size, step count, cache hit rate, frequency, and margin for errors or reruns.
Why cache matters
Context cache for system prompts, internal policies, and frequent documents reduces input tokens while keeping quality stable when source data is fresh.
Monthly budget
A reliable budget multiplies cost per run by daily executions, then adds margin for usage spikes, retries, and human validation.