# Cloud Cost Calculator

> Free cloud cost calculator to estimate and compare AWS, Azure, and GCP pricing. Calculate compute, storage, data transfer, and serverless costs with monthly.

**URL:** https://calculators.im/cloud-cost-calculator  
**Category:** engineering  
**Last updated:** 2026-07-03  

Estimate and compare cloud computing costs across AWS, Azure, and GCP. Calculate pricing for compute instances, storage, data transfer, and serverless functions with monthly and yearly cost breakdowns.

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.

## Formula

```
Total Monthly Cost = Compute Cost + Storage Cost + Data Transfer Cost + Serverless Cost
```

**Variables:**

- **Compute Cost** — Number of instances x (vCPU price + RAM price) x hours/month
- **Storage Cost** — Storage GB x price per GB/month (varies by storage type)
- **Data Transfer Cost** — Egress GB x price per GB (first 100 GB/month often free)
- **Serverless Cost** — (Requests x price per request) + (GB-seconds x price per GB-second)

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.

## Worked Example

### Example: Small web application with 2 instances, 100 GB storage, 500 GB egress

Two 2-vCPU, 8 GB RAM instances running 24/7 (730 hours/month) cost roughly $120-140/month for compute. 100 GB SSD storage adds about $10-12/month. 500 GB data egress costs approximately $40-45/month. GCP tends to be slightly cheaper for sustained-use workloads due to automatic sustained-use discounts.

## How to Use the Cloud Cost

1. **Select Service Type** — Choose between Compute, Storage, Data Transfer, or Serverless tabs to configure each part of your cloud infrastructure.
2. **Configure Resources** — Set the number of instances, vCPUs, RAM, storage amount, egress volume, or serverless parameters for your workload.
3. **Compare Providers** — View side-by-side cost comparisons across AWS, Azure, and GCP for your exact configuration.
4. **Review Total Cost** — See monthly and yearly totals broken down by service category. Adjust resources to optimize your cloud budget.

## Pro Tips

- 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)

## Frequently Asked Questions

### How much does cloud hosting cost per month?

A small web application typically costs $50-300/month depending on resources. A single small instance (2 vCPU, 4 GB RAM) costs about $30-50/month. Add storage ($0.08-0.23/GB for SSD), data transfer ($0.08-0.12/GB egress), and you get a baseline cost. Our calculator lets you configure exact resources and compare across AWS, Azure, and GCP.

### Which cloud provider is cheapest: AWS, Azure, or GCP?

It depends on your workload. GCP offers automatic sustained-use discounts (up to 30% off). Azure is often cheapest for enterprises using Microsoft products. AWS has the broadest free tier and most instance types. For compute-heavy workloads, GCP is often cheapest. For storage, all three are similarly priced. Use our calculator to compare for your specific usage.

### How do I estimate cloud computing costs?

Break your workload into four categories: 1) Compute — count instances, vCPUs, RAM, and hours/month. 2) Storage — total GB needed and type (SSD/HDD/Object). 3) Data transfer — estimate monthly egress in GB. 4) Serverless — requests per month and duration. Multiply each by the provider's per-unit price and sum them up. Our calculator automates this process.

### What is data transfer egress and why is it expensive?

Egress is outbound data leaving a cloud provider's network to the internet or another region. Cloud providers charge $0.05-0.12 per GB for egress, while ingress (data in) is free. This can add up quickly for content-heavy applications. Strategies to reduce egress costs include using a CDN, caching, compressing responses, and keeping inter-service traffic within the same region.

### When should I use serverless vs dedicated instances?

Serverless (AWS Lambda, Azure Functions, Google Cloud Functions) is ideal for sporadic or event-driven workloads with variable traffic. It's cost-effective under ~1 million requests/month. For consistent, high-traffic workloads, dedicated instances are cheaper because serverless per-request costs add up. Our calculator helps you compare both approaches.

### How can I reduce my cloud bill?

Top strategies: 1) Use reserved/committed instances for steady workloads (save 30-60%). 2) Right-size instances — eliminate unused resources. 3) Use spot/preemptible instances for batch jobs (save up to 90%). 4) Schedule non-production environments to shut down off-hours. 5) Optimize data transfer by using CDNs and same-region traffic. 6) Choose the right storage tier for your access patterns.

## Deep Dive

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.

### Cloud Cost Calculator for AWS, Azure & GCP

How much will your cloud infrastructure cost? Our calculator breaks down pricing for:

- **compute** (EC2, Azure VMs, Compute Engine)
- **storage** (S3, Blob, GCS)
- **data transfer**
- **serverless functions**

Enter your resource requirements and get instant cost comparisons across all three major cloud providers.

### Compare Cloud Provider Pricing

**AWS, Azure, and GCP** each have different pricing structures:

- AWS offers the most instance types and a broad free tier.
- Azure provides enterprise licensing benefits.
- GCP has automatic sustained-use discounts.

Our side-by-side comparison shows exactly where each provider is cheapest for your specific workload.

### Serverless vs Instance-Based Pricing

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.

### How to Calculate Monthly Cloud Cost

**Total monthly cloud cost** is the sum of four line items: Total = Compute + Storage + Data Transfer + Serverless.

- Compute is priced per instance-hour, so Compute Cost = Instances x Hourly Rate x Hours, where a 24/7 month is 730 hours (365 x 24 / 12).
- Storage Cost = GB x price-per-GB-month.
- Data Transfer Cost = billable Egress GB x per-GB rate (inbound ingress is normally free).
- Serverless Cost = (Requests x per-request price) + (GB-seconds x per-GB-second price).

Add the four totals, then multiply by 12 for a yearly estimate. This additive model matches how AWS, Azure, and Google Cloud itemize invoices.

### How to Calculate EC2 and Instance Compute Cost

**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.

### How to Calculate Storage and Data Egress Cost

**Storage Cost = Storage GB x price per GB-month**, and the price depends on tier:

- block SSD (AWS EBS gp3, ~$0.08/GB)
- object storage (Amazon S3 Standard, ~$0.023/GB)
- or archival tiers that cost less still.

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.

### How to Calculate Serverless (Lambda) Cost

**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.

### What Units Are Cloud Costs Measured In?

**Cloud billing units** mix time, capacity, and count.

- Compute is billed per instance-hour (or per-second, then aggregated to hours).
- Storage uses GB-month, meaning gigabytes held for a full billing month.
- Data transfer is billed per GB moved.
- Serverless uses two units: the request count and GB-seconds (memory in gigabytes multiplied by execution seconds).

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.

### Real-World Uses of a Cloud Cost Calculator

**Teams use cloud cost estimates** before, during, and after deployment.

- Startups model burn rate to forecast runway before committing to a provider.
- DevOps and platform engineers size instances and pick storage tiers during architecture reviews.
- FinOps teams compare on-demand versus reserved and committed-use pricing to plan savings-plan purchases.
- Migration projects estimate the run cost of moving on-premises workloads to AWS, Azure, or GCP.
- Solution architects run side-by-side provider comparisons in customer proposals.

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.

### AWS vs Azure vs GCP: How Pricing Models Differ

**All three providers** price compute per instance-hour, storage per GB-month, and egress per GB, but their discount mechanics differ.

- AWS offers Savings Plans and Reserved Instances for 1- or 3-year commitments and Spot Instances for interruptible workloads.
- Azure provides Reserved VM Instances plus Hybrid Benefit for existing Windows Server and SQL Server licenses.
- Google Cloud applies automatic sustained-use discounts that grow the longer a VM runs in a month, plus committed-use discounts.

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.

### Common Mistakes When Estimating Cloud Costs

**The most frequent errors:**

- (1) Forgetting data egress, which is billed per GB and can rival compute cost for media-heavy apps.
- (2) Using 720 hours instead of 730 for a 24/7 month, understating compute by over 1%.
- (3) Ignoring the base-2 versus base-10 gigabyte distinction and misreading storage totals.
- (4) Comparing on-demand prices while the workload could use reserved or sustained-use discounts, overstating steady-state cost.
- (5) Overlooking hidden fees like load balancers, static IPs, snapshots, NAT gateways, and inter-region transfer.
- (6) Assuming serverless is always cheapest; at high, steady request volumes a dedicated instance often wins.

Model all four cost categories together for an accurate estimate.

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## Authoritative Sources

- [AWS Lambda Pricing](https://aws.amazon.com/lambda/pricing/) — Official per-request and per-GB-second serverless pricing
- [Amazon EC2 On-Demand Pricing](https://aws.amazon.com/ec2/pricing/on-demand/) — Official instance-hour compute rates
- [NIST — Prefixes for Binary Multiples](https://physics.nist.gov/cuu/Units/binary.html) — Authoritative definition of GB (10^9) vs GiB (2^30)
- [BIPM — The International System of Units (SI)](https://www.bipm.org/en/measurement-units) — Official SI decimal prefix definitions
- [Google Cloud Sustained Use Discounts](https://cloud.google.com/compute/docs/sustained-use-discounts) — Official documentation on automatic compute discounts
- [Microsoft Azure Pricing Calculator](https://azure.microsoft.com/en-us/pricing/calculator/) — Official Azure resource pricing and estimation

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