Our cloud cost calculator helps developers, DevOps engineers, and businesses estimate their monthly and yearly cloud spending across the three major providers: AWS, Azure, and Google Cloud Platform. Configure compute instances (vCPUs, RAM, hours), storage (SSD, HDD, object storage), data transfer (egress), and serverless workloads (Lambda/Functions) to get accurate cost comparisons. Make informed decisions about which provider offers the best value for your specific workload.
Choose between Compute, Storage, Data Transfer, or Serverless tabs to configure each part of your cloud infrastructure.
Set the number of instances, vCPUs, RAM, storage amount, egress volume, or serverless parameters for your workload.
View side-by-side cost comparisons across AWS, Azure, and GCP for your exact configuration.
See monthly and yearly totals broken down by service category. Adjust resources to optimize your cloud budget.
Cloud costs are composed of multiple service categories. Compute is typically the largest expense, priced by vCPU and RAM hours. Storage costs depend on type (SSD vs HDD vs object) and amount. Data transfer charges apply mainly to outbound (egress) traffic. Serverless is billed per request and per compute-second (GB-s). Each provider prices these differently, so comparing across AWS, Azure, and GCP can reveal significant savings.
Total Monthly Cost = Compute Cost + Storage Cost + Data Transfer Cost + Serverless Cost
Use reserved instances or committed-use discounts to save 30-60% on long-running workloads
Right-size your instances — most cloud VMs are overprovisioned by 40% or more
Choose the right storage tier: use object storage (S3/Blob/GCS) for infrequently accessed data instead of SSD
Data transfer between regions and out to the internet is a hidden cost — keep traffic local when possible
Serverless (Lambda/Functions) is cheaper for sporadic workloads but expensive at scale
Enable auto-scaling and shut down dev/test instances outside business hours to cut costs by 65%
Use spot/preemptible instances for fault-tolerant batch jobs to save up to 90%
Monitor costs weekly with native tools (AWS Cost Explorer, Azure Cost Management, GCP Billing Reports)
Our free cloud cost calculator estimates monthly and yearly spending for AWS, Azure, and Google Cloud Platform. Compare compute, storage, data transfer, and serverless pricing across providers to find the best value for your workload.
How much will your cloud infrastructure cost? Our calculator breaks down pricing for:
Enter your resource requirements and get instant cost comparisons across all three major cloud providers.
AWS, Azure, and GCP each have different pricing structures:
Our side-by-side comparison shows exactly where each provider is cheapest for your specific workload.
Should you use serverless functions or dedicated instances?
Serverless (AWS Lambda, Azure Functions, Cloud Functions) charges per request and per compute-second, ideal for variable workloads. Dedicated instances are better for steady traffic.
Our calculator helps you compare both approaches to find the most cost-effective architecture.
Total monthly cloud cost is the sum of four line items: Total = Compute + Storage + Data Transfer + Serverless.
Add the four totals, then multiply by 12 for a yearly estimate. This additive model matches how AWS, Azure, and Google Cloud itemize invoices.
Compute Cost = Number of Instances x Hourly Rate x Hours per Month.
For example, two instances at $0.0832/hour running 24/7 (730 hours) cost 2 x 0.0832 x 730 = $121.47 per month. The hourly rate is set by the instance's vCPU and RAM allocation, so a 2-vCPU, 8 GB VM (AWS t3.large, Azure B2ms, GCP e2-standard-2 class) sits around this figure.
Use 730 hours for always-on workloads; scale the hours down for scheduled or auto-scaled fleets. Reserved or committed-use pricing lowers the effective hourly rate by roughly 30-60% versus on-demand, per each provider's official pricing pages.
Storage Cost = Storage GB x price per GB-month, and the price depends on tier:
So 100 GB of gp3 SSD is about 100 x 0.08 = $8/month.
Data Transfer Cost = billable Egress GB x per-GB rate; ingress is free, and providers commonly waive the first ~100 GB of monthly internet egress. With 500 GB egress at roughly $0.09/GB after the free tier, 400 x 0.09 = about $36/month.
Rates come directly from AWS, Azure, and Google Cloud pricing documentation.
Serverless Cost = (Requests x per-request price) + (GB-seconds x per-GB-second price). GB-seconds = (Memory in GB) x (Duration in seconds) x Requests.
Example: 1,000,000 requests at 256 MB (0.25 GB) and 200 ms (0.2 s) each gives 0.25 x 0.2 x 1,000,000 = 50,000 GB-seconds. At AWS Lambda's ~$0.0000166667 per GB-second that compute is 50,000 x 0.0000166667 = about $0.83, plus 1M requests at $0.20 per million = $0.20, totaling roughly $1.03/month.
Serverless stays cheap for sporadic traffic but becomes costlier than a dedicated instance under sustained high load.
Cloud billing units mix time, capacity, and count.
Note the base-2 vs base-10 distinction: NIST and the International Bureau of Weights and Measures (BIPM) define a gigabyte (GB) as 10^9 bytes and a gibibyte (GiB) as 2^30 bytes. Most cloud providers bill in decimal GB, so 1 GB = 1,000,000,000 bytes when reconciling storage figures.
Teams use cloud cost estimates before, during, and after deployment.
Because compute is usually the largest line item, calculators are also central to right-sizing exercises, where over-provisioned VMs are trimmed to reduce spend without hurting performance.
All three providers price compute per instance-hour, storage per GB-month, and egress per GB, but their discount mechanics differ.
Free egress allowances and per-GB rates also vary slightly by provider and region. Always confirm current figures against each vendor's official pricing pages, since rates change over time.
The most frequent errors:
Model all four cost categories together for an accurate estimate.
Data sourced from trusted institutions
All formulas verified against official standards.