How does an LLM cost calculator work?
It multiplies average input tokens by the input price and average output tokens by the output price per request, then by monthly request volume, across models, with cache and batch adjustments.
Estimate monthly LLM cost from token volume and per-model pricing before you ship.
The LLM cost calculator turns request volume, average input and output tokens, and per-model pricing into a monthly cost estimate before you ship. It models prompt caching, batch discounts, and streaming so the number tracks real traffic. See /pricing for live model prices and /docs/openai-compatible to start sending traffic.
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FAQ
It multiplies average input tokens by the input price and average output tokens by the output price per request, then by monthly request volume, across models, with cache and batch adjustments.
Route cheaper models where quality allows, cache repeated input prefixes, and batch non-urgent work. Validate cache assumptions before trusting a lower estimate.
Output tokens, streaming overhead, and retries are the usual causes. Export your bill and run the AI API bill analyzer to find the gap.
Related tools
Next step
Copy the base URL, compare model details, or create a key when you are ready to run a real compatibility test.