Estimate the ongoing budget required to serve AI model inference at scale.
Inference cost is driven by request volume rather than training compute, so budgeting for a production AI feature means projecting daily traffic and multiplying by your per-request cost — which itself depends on model size, average tokens per request, and hosting method. This calculator scales your daily request cost up to monthly and annual figures so you can compare against expected revenue or budget caps before launch.
monthly_cost = requests_per_day × cost_per_request × days_per_month
Use the Cost per Query Calculator to derive cost per request from your model's token pricing and average prompt/completion lengths.
Yes — this calculator assumes a flat daily average; for spiky or seasonal traffic, model peak-day costs separately to ensure your budget covers worst-case load.
No, this figure is purely the marginal cost per served request. Use the AI Deployment Cost Calculator to add fixed infrastructure costs like idle instances or load balancers.