Free AI API cost calculator: estimate monthly LLM spend from tokens, price, cache, and batch assumptions before launch.
This AI API cost calculator estimates your monthly LLM spend before you ship: enter request volume, average input and output tokens, and per-model pricing, and it projects the real bill. It models prompt caching, batch discounts, and streaming so the number matches production traffic instead of a back-of-envelope guess. Check live model prices on /pricing, compare per-model rates in /tools/llm-price-compare, then run the estimate here.
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FAQ
Multiply average input tokens by the input price and average output tokens by the output price per request, then by monthly request volume. This calculator does that across models and adds cache and batch adjustments.
Yes. Repeated input prefixes can be cached, cutting input cost. The calculator applies a conservative cache discount you can tune by hit rate — validate it with the cacheability checker first.
Output tokens, streaming overhead, and retries are the usual causes. Export your bill and run the AI API bill analyzer to find the gap.
It is a calculator that turns your request volume, average input and output tokens, and per-model pricing into a projected monthly AI API bill, so you can budget before launch instead of guessing after the first invoice.
It depends on three inputs: request volume, average tokens per request, and the model input and output price. For example, 100k requests a month at 2k input plus 500 output tokens can range from tens of dollars on a small model to thousands on a frontier model. Run the numbers above with your real traffic mix.
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Next step
Copy the base URL, compare model details, or create a key when you are ready to run a real compatibility test.