Serverless Cost Calculator
Estimate costs for serverless functions on AWS Lambda, Google Cloud Functions, and Azure Functions. Input invocations, memory, and duration for accurate monthly projections.
Configure Your Inputs
Adjust the values below and see results update instantly
Function calls per day
Select your serverless platform
Average execution time
Memory per function (128-10240)
Persistent storage (S3/Cloud Storage)
API Gateway calls triggering functions
Your Results
Calculated in real-time based on your inputs above
Est. Monthly Cost
$11.13
3,000,000 invocations/month
Compute Cost
$0.00
Request Cost
$0.40
API Gateway
$10.50
Storage
$0.23
Cost per 1M Invocations
$3.71
Cost per Invocation
$0.000004
Estimate Only: These results are approximate calculations based on the values you entered. Actual costs may vary depending on vendor pricing, negotiations, and market conditions.
Pro Tip
Optimize serverless costs by reducing function duration (cold starts!), right-sizing memory allocation, and using provisioned concurrency for predictable workloads.
Disclaimer: This calculator provides estimates for informational purposes only. It does not constitute financial, legal, or professional advice. We do not guarantee the accuracy, completeness, or reliability of any calculations. Actual costs and results may differ significantly. Always consult a qualified professional before making financial decisions.
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Note: All calculations are estimates only and do not constitute financial advice. Consult a professional before making business decisions.
Frequently Asked Questions
What is serverless computing?
Serverless lets you run code without managing servers. You upload functions, and the cloud provider handles scaling, patching, and availability. You pay only for actual execution time — no idle server costs.
How much does AWS Lambda cost?
AWS Lambda charges $0.20 per 1M requests plus $0.0000166667 per GB-second of compute. The free tier includes 1M requests and 400,000 GB-seconds per month — enough for many small applications.
When is serverless cheaper than containers?
Serverless wins for sporadic, event-driven workloads with unpredictable traffic. Containers are cheaper for consistent, high-throughput workloads. The crossover point is typically around 50-100M invocations/month.
What are cold starts and how do they affect costs?
Cold starts occur when a function hasn't run recently and needs to initialize. They add 100ms-2s of latency. While they don't significantly increase costs, they hurt user experience. Use provisioned concurrency to eliminate them for latency-sensitive apps.
How do I optimize serverless costs?
1) Right-size memory (more memory = faster execution but higher per-ms cost). 2) Reduce function duration by optimizing code. 3) Use ARM-based runtimes (20% cheaper on AWS). 4) Batch operations instead of many small invocations.
Are there hidden costs with serverless?
Yes! API Gateway fees ($3.50/M requests on AWS), data transfer costs, CloudWatch logging, and storage costs add up. API Gateway can actually cost more than Lambda itself for high-traffic APIs.