AWS Monthly Price Calculator
Use this quick estimator to model a typical monthly AWS bill across EC2, S3, data transfer, RDS, and Lambda. Choose a region, adjust usage, and calculate your estimated monthly and annual cost.
Regional defaults are loaded automatically for common on-demand rates.
EC2 Compute
S3 Storage + Data Transfer
RDS + Lambda
Additional Charges
This is an educational estimator. Actual AWS billing may include tiering, free-tier credits, reserved discounts, request-level charges, and regional pricing updates.
Why an AWS Price Calculator Matters
AWS pricing is powerful but layered. You might pay for compute by the hour, storage by the gigabyte, serverless execution by requests and runtime, and networking by data transfer. For teams moving quickly, this creates a common problem: costs are hard to predict until the bill arrives.
A practical price calculator gives you an immediate pre-deployment estimate. It helps answer questions like:
- What happens to my monthly bill if I double traffic?
- How much do always-on EC2 instances cost compared with bursty Lambda workloads?
- Which line item is driving my total spend right now?
How This Calculator Works
This page uses a blended model of popular AWS services and simple pricing assumptions. You enter usage values, apply optional support and tax percentages, and generate an estimated monthly and annual total.
Included service categories
- EC2: Number of instances × hours/month × hourly rate
- S3: Stored GB × price per GB
- Data Transfer Out: Outbound GB × transfer rate
- RDS: Instance-hours × hourly rate
- Lambda: Request cost + compute cost (GB-seconds)
- Overheads: Optional support and tax percentages
For convenience, selecting a region preloads common default rates, which you can override at any time.
Understanding Each Input Before You Calculate
1) EC2 inputs
EC2 often dominates spend in traditional architectures. If you run instances 24/7, using 730 hours/month is a common baseline. Adjust the hourly rate by instance type, operating system, or licensing model.
2) S3 storage and transfer
S3 storage can look small initially, then become meaningful as logs, media, and backups accumulate. Transfer out is frequently underestimated; public APIs and media-heavy workloads can make network egress one of the biggest cost drivers.
3) RDS
Managed databases simplify operations but carry persistent cost. Include high-availability replicas, storage, and backup retention in your broader planning even if you only estimate instance-hours here.
4) Lambda requests and compute
Lambda pricing is split into request count and compute duration. This calculator captures both dimensions so you can model optimization work, such as reducing function memory or execution time.
Example Planning Scenario
Suppose a startup has two always-on app servers, one RDS instance, a moderate amount of object storage, and a few million serverless function calls per month. Running those values in a calculator quickly reveals:
- Compute plus database baseline spend (fixed, predictable)
- Network and storage growth exposure (variable, traffic-driven)
- Whether support and tax significantly change the final amount
That visibility supports better budgeting and realistic customer pricing decisions.
Ways to Lower AWS Costs After Estimation
Right-size before you optimize code
Many workloads are over-provisioned. Downsizing EC2 and RDS can cut large chunks of monthly cost with minimal effort.
Use commitment discounts where usage is steady
If baseline consumption is stable, Savings Plans or Reserved Instances can reduce compute cost versus on-demand pricing.
Control data transfer early
Review architecture decisions that increase egress. CDN usage, caching strategy, and regional placement can materially affect outbound charges.
Apply storage lifecycle policies
Move older objects from hot storage classes to lower-cost archival tiers automatically. This is one of the easiest long-term wins.
Common Estimation Mistakes
- Ignoring data transfer and only modeling compute
- Forgetting support plans or regional tax rules
- Not accounting for growth in storage and logs
- Using outdated rate assumptions for new regions or services
When to Use the Official AWS Pricing Calculator
This tool is intentionally simple for fast planning. For production-grade forecasting, use the official AWS Pricing Calculator and compare against actual billing reports in Cost Explorer. The best approach is usually both: quick estimate first, detailed model second.
Final Thoughts
A reliable AWS estimate is less about perfect precision and more about making good decisions early. Start with a transparent model, update assumptions monthly, and track which services are changing fastest. If you do that consistently, cloud spend becomes manageable and predictable instead of surprising.