AI Cost Calculator

How this ai cost calculator works

An AI cost calculator helps founders, developers, and product teams understand what a language model feature will cost before it reaches production. Most AI products are billed by tokens, not by request, which makes the real monthly cost hard to judge from a simple traffic estimate. A short support reply may be cheap, while a workflow that reads long documents and generates detailed reports can become expensive very quickly. This calculator turns model pricing, token usage, and request volume into a practical cost forecast.

Start by choosing the model you expect to use. Then enter the average number of input tokens and output tokens for one request. Input tokens are the prompt, system instructions, conversation history, retrieved documents, and any other context sent to the model. Output tokens are the answer generated by the model. Finally, add the number of requests you expect per day. The calculator shows the estimated cost per request, cost per day, and cost per 30-day month.

This is useful when pricing a SaaS product, planning usage limits, choosing between providers, or deciding whether to offer a free tier. If your margin is thin, even a small difference in token usage can matter. A model that costs a fraction of a cent per request can still become a large line item when multiplied by thousands of users. The safest approach is to estimate with realistic prompts, add a buffer for retries and longer conversations, and revisit the calculation whenever your product flow changes.

The result is not a replacement for your provider invoice. It is a planning tool. Provider bills can include cached-token discounts, batch pricing, image pricing, audio pricing, tool calls, storage, taxes, and free credits. For a clean MVP estimate, this page focuses on text input and text output token pricing. That keeps the calculation simple enough for quick decisions while still matching the main cost driver for most AI SaaS features.