AI API Cost Calculator
Plan the running cost of an AI feature. Enter active users per day, requests per user, average input and output tokens per request, your provider’s prices and how much input is served from cache. The calculator shows the monthly, daily and yearly cost, the cost per request and per user, the share of cost from output, and – with a budget – whether it fits or how many users it can support.
- Runs in your browser
- No sign-up
- Free to use
Prices are placeholders you replace with your provider’s current price list – they change often and differ by model, region and contract.
How to use AI API Cost Calculator
- Enter users and requests per user.
- Enter average input and output tokens.
- Enter prices and caching.
- Compare with your budget.
AI API Cost Calculator features
Monthly projection
Daily and yearly too.
Cost per user
For pricing decisions.
Caching
Discount on repeated input.
Budget check
Users the budget allows.
Your prices
No built-in prices that go out of date.
Any currency
Choose from 30+ currencies; amounts are formatted for it.
When to use AI API Cost Calculator
- Planning a chatbot launch.
- Pricing an AI add-on.
- Budget reviews.
- Comparing usage scenarios.
AI API Cost Calculator FAQ
How do I estimate tokens per request?
Measure a few typical requests including system prompt, context and history.
Why does output share matter?
If output dominates, shorter answers save most; if input dominates, trim prompts or cache.
Are prices built in?
No – enter your provider’s current prices.
What about free tiers?
Subtract free usage from the monthly figure yourself.
Planning AI costs
AI costs scale with usage, so a feature that is cheap in testing can be expensive at scale. Cost per user tells you whether a subscription price leaves a margin.
Set alerts and limits with your provider once real traffic arrives.
Prices, limits and tokenizers differ between providers and change often. Enter the current values from your provider’s pricing and documentation pages, and re-check them before committing to a budget.
Measure real usage once you have it: average tokens per request in production are often different from the estimates used at the planning stage, especially once system prompts, retrieved context and conversation history are included.