Estimate monthly LLM API cost across input, output, batch, and cache assumptions.
The AI API cost calculator helps Canadian teams estimate monthly LLM spend from request volume, average input and output tokens, and per-model pricing before launch. It also models prompt caching, batch discounts, and routing tradeoffs so budgeting is easier before product rollout.
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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.
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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 in Canada.