Request fees vs bandwidth
Small responses stay request-bound, big JSON or media payloads tip the bill toward egress.
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API & Backend Cost
API Pricing Calculator
Price your API product with confidence. Enter your cost per million calls and target margin, and see the price you should charge, the profit per million and how revenue grows with volume.
Estimated monthly cost
$0
Request cost—
Bandwidth cost—
Cost per 1,000 requests—
Data transferred / month—
Requests per month—
Annual estimate—
Cost as traffic grows
What this endpoint costs if monthly volume doubles, 5x or 10x.
What the API Pricing Calculator does
If you sell access to an API, pricing has to cover your cost and leave a margin. That starts with knowing your true cost per call, the compute, gateway and bandwidth you spend to serve one request. Only then can you set a price that is profitable at scale.
This calculator uses your cost per million calls and average response size to compute what serving your traffic actually costs. Use that figure as the floor, then mark it up to your target margin. The growth projection shows how both cost and the revenue you would need scale with volume.
Heads up on pricing. The rates built into this tool are public list estimates for July 2026 and can change without notice. Providers also offer batch discounts, prompt caching and volume tiers that lower real costs, so treat the output as a planning estimate, not a quote.
The formula
cost per call = your cost per million ÷ 1,000,000 + bandwidth per call
price to charge = cost per call ÷ (1 − target margin)
example margin 70%: price = cost ÷ 0.30
price to charge = cost per call ÷ (1 − target margin)
example margin 70%: price = cost ÷ 0.30
Worked example
If serving costs you $23 for 5,000,000 calls, that is $0.0000046 per call. To hit a 70 percent margin you would charge about $0.0000153 per call, or roughly $15.30 per million, leaving healthy profit as volume grows.
Ways to lower your API and backend costs
- Serve responses through a CDN. Cached, edge-delivered responses cut egress cost and take load off your origin.
- Compress payloads. gzip or brotli plus trimming unused JSON fields reduces bandwidth on every single request.
- Cache common responses. Avoid recomputing identical results for repeated reads, which lowers both compute and request fees.
- Reduce chatty designs. Combine several small calls into one batch endpoint or a single GraphQL query to cut request volume.
- Right size and autoscale. Match capacity to real peak traffic instead of paying for servers that sit idle most of the day.
Frequently asked questions
How should I price an API?
Start from your real cost per call, then mark up to your target margin. Price per request, per thousand or in tiered bundles depending on how customers buy.
What margin is normal for an API?
Software APIs often target 60 to 90 percent gross margin, since marginal serving cost is low. Compute heavy or AI backed APIs run thinner and need careful pricing.
Should I charge per call or per tier?
Tiers with included volume are easier for customers to predict and reduce billing friction, while pure per call suits highly variable usage. Many products combine both.
How do I stay profitable as I scale?
Watch that your per call cost does not creep up with bandwidth or premium dependencies, and keep price above the cost floor this tool computes.
Are these numbers exact?
They are 2026 planning estimates. Base your final pricing on measured cost from your own bills.