Traffic-based estimates
Convert users and request frequency into monthly AI API usage.
AI usage calculator
Run the calculator to see projected cost and usage volume.
Enter your usage details, then select Calculate estimate to see your projected cost.
Estimated cost = input usage cost + output usage cost + supported optional charges.
An AI usage calculator is most useful when teams know how often a feature will run. Start with active users, requests per day, average input tokens, average output tokens, and the model powering the workflow.
Open the calculator and enter your request volume, token assumptions, provider, and model.
Estimate AI usage costConvert users and request frequency into monthly AI API usage.
Compare low, expected, and high usage before setting limits or budgets.
Use the same usage assumptions across provider pages to compare cost ranges.
Continue with the most relevant provider, guide, comparison, or calculator for this page's distinct planning intent.
Calculate input, cached-input, and output token cost per request.
Estimate multi-step AI agent request and token costs.
Estimate provider, model, token, and monthly AI API cost.
Plan SaaS AI cost per user and product margin.
Forecast spend from known input and output token volumes.
Estimate API spend before releasing AI features to customers.
Set practical plan limits from expected request and token volume.
Give engineering, product, and finance a shared monthly usage model.
Usage estimates should be compared with production analytics after launch because user behavior, retries, and prompt length can vary.
Launch checklist
Forgetting retries, long context, power users, and generated output length.
Shorten prompts, cap output length, cache repeated answers, and route simple tasks to cheaper models.
Use stronger models when accuracy or reasoning changes the outcome; use cheaper models for routine work.
Ask who triggers requests, how often, how long responses are, and what happens during usage spikes.
Include active users, requests per user, average input tokens, average output tokens, usage days, model choice, and expected retries.
The cheapest provider depends on model choice, input/output mix, context needs, latency, and quality requirements.
Yes. Monthly API cost estimates make it easier to set plan limits, forecast margins, and identify heavy-usage workflows.