Estimate the token allowance for support conversations using workload-specific operating assumptions. Adjust the inputs to match measured production behavior, then use the primary estimate and supporting metrics to compare deployment choices, identify constraints, and document a repeatable planning baseline. The calculator runs locally in your browser and does not send operational data to a server.
Overhead represents retries, routing prompts, summaries, or other token use not captured in the base average.
The main result is the estimated token allowance for the selected workload. Base and overhead tokens show what creates the total, while adjusted tokens per interaction supports model and cost planning.
This is a planning estimate. Cached tokens, provider-specific token accounting, multimodal inputs, and tool calls may be billed or measured differently.
For 50,000 support conversations, 900 input tokens, 300 output tokens, and 8% overhead:
Yes. Include system and retrieved context in average input tokens unless they are already represented in the overhead rate.
Use the full token volume for capacity planning, then model cached and uncached prices separately when estimating cost.
It can cover regeneration, routing, summaries, guardrail prompts, and other token use outside the base interaction average.
Either can be zero, but their combined value must be greater than zero for a meaningful estimate.
No. It estimates token volume; billing also depends on model prices, cache treatment, and provider rules.
| Variable | Meaning |
|---|---|
| Monthly interactions | Number of AI-handled tasks |
| Input tokens | Prompt, history, and retrieved context |
| Output tokens | Generated response tokens |
| Overhead rate | Extra token use beyond the base average |