CLOUD SERVICE · AWS

AWS Pricing Calculator - AWS Pricing Calculator is a cost-estimation tool for modeling the expected charges of proposed AWS workloads and changes to existing environments.

AWS Pricing Calculator helps engineers estimate AWS costs by configuring services, Regions, capacity, and expected usage before deploying resources. It includes a public web calculator and an authenticated console experience for evaluating workloads and modeling changes against an existing billing baseline.

Cloud Services Hub →

What is AWS Pricing Calculator

Read the extensive description

AWS Pricing Calculator produces planning estimates from service configurations and usage assumptions. Engineers select AWS services, choose deployment Regions, and enter quantities such as instance hours, storage capacity, request volumes, and data transfer. The calculator applies supported pricing dimensions to produce estimated charges. Creating an estimate does not provision resources, reserve capacity, or purchase a discount commitment.

The public calculator supports planning without connecting to an AWS account. An estimate can contain multiple services organized into groups, allowing teams to represent application tiers, environments, or business components. Engineers can save and share an estimate through a generated link and export estimate data for review. Treat shared estimate links as accessible to anyone who receives them, and avoid entering credentials, customer data, or other sensitive information in estimate names and descriptions.

The authenticated AWS console experience provides additional planning workflows. Workload estimates model proposed resource configurations, while bill estimates evaluate the potential effect of changes on an existing billing baseline. Account access, permissions, supported billing arrangements, and available historical data determine which workflows are usable. Distinguish a standalone workload estimate from an account-level bill estimate because existing usage and discount commitments can change the incremental cost of a proposal.

Estimation accuracy depends on the inputs. For compute, capture operating system, instance configuration, runtime, and purchase option. For storage, consider capacity, requests, provisioned performance, retrieval, and transfer where applicable. For databases, include deployment topology, storage, backup requirements, and relevant I/O charges. Include supporting services such as load balancing, monitoring, network address translation, and public IPv4 addresses when the architecture requires them.

Create separate scenarios to compare architectural decisions. For example, compare a continuously running application with one that stops outside business hours, or compare a Single-AZ development database with a Multi-AZ production deployment. Keep workload assumptions consistent between scenarios so the cost difference reflects the architectural change rather than unrelated input changes. Record expected growth and utilization alongside each estimate.

Purchase options require particular care. On-Demand pricing provides a baseline, while supported Savings Plans and Reserved Instance options introduce term, payment, and usage assumptions. A lower estimated effective rate does not establish that a commitment will be fully utilized. Review eligible usage, existing commitments, and expected workload stability before purchasing a commitment.

Calculator results are estimates rather than billing guarantees. Service coverage, configurable dimensions, private pricing, taxes, credits, and discount treatment vary by workflow. Review what an estimate includes and excludes, especially for data transfer and cross-Region designs. After deployment, compare actual charges in AWS Cost Explorer or billing reports with the original assumptions, then update the estimate as traffic, retention, and resource utilization change.

Key AWS Pricing Calculator Features

Multi-service estimates

Combine supported AWS services into one estimate to model an application rather than a single resource. Include supporting components such as storage and databases instead of treating compute as the entire workload cost.

Region-specific modeling

Select the deployment Region for supported service configurations. Compare equivalent designs across Regions while accounting separately for latency, data residency, and transfer requirements.

Service-specific configuration

Enter the pricing dimensions relevant to each supported service, such as runtime, storage, requests, and provisioned performance. Use measured workload characteristics or explicit assumptions rather than leaving important inputs at defaults.

Estimate grouping

Organize services into groups representing application tiers, environments, or cost ownership boundaries. This makes it easier to review which components contribute to the total.

Purchase-option comparisons

Compare supported purchase options, including On-Demand and applicable commitment-based pricing. Check term length, payment assumptions, and expected utilization before interpreting a lower estimated rate as a realizable saving.

Sharing and export

Save and share public estimates using generated links, and export estimate details for planning documents. Avoid sensitive information in estimate metadata because a shared link is not an account-level access-control mechanism.

Authenticated workload estimation

Use the console experience to model proposed workloads within an AWS account context. Available pricing and discount preferences depend on the workflow and account permissions.

Bill scenario estimation

Use supported console workflows to evaluate changes against an existing billing baseline. This is useful when existing usage and commitments make incremental cost different from a standalone public estimate.

AWS Pricing Calculator Use Cases

Predeployment architecture review

Estimate the expected cost of compute, databases, storage, and supporting infrastructure before approving a design. Document operating hours, request volume, and retention assumptions so reviewers can reproduce the result.

Migration business cases

Model a proposed AWS deployment for an existing application and compare alternative resource configurations. Keep migration expenses, licensing obligations, and operational labor separate unless explicitly included in the analysis.

Availability and resilience trade-offs

Compare Single-AZ, Multi-AZ, and multi-Region designs using the same demand assumptions. Include replicated storage, additional capacity, and relevant transfer charges rather than comparing only primary resources.

Commitment planning

Compare supported commitment-based prices with an On-Demand baseline for stable workloads. Validate anticipated utilization and existing commitment coverage before purchasing Savings Plans or Reserved Instances.

Growth and capacity planning

Create scenarios for changes in users, request rates, data retention, and runtime. Use the results to identify whether storage, requests, compute, or networking becomes the dominant cost driver.

Existing-environment change assessment

Use an account-aware bill scenario to assess a proposed workload change against existing spending. Compare the scenario with actual billing data after implementation to refine future assumptions.

AWS Pricing Calculator pricing models

Free console workload estimates

Creating workload estimates in the authenticated AWS Pricing Calculator console experience is free. Deploying the resources described by an estimate incurs the applicable service charges.

Free public estimates

The public AWS Pricing Calculator is free to use. The infrastructure charges displayed in an estimate are projected AWS service costs, not fees for creating the estimate.

Metered console bill estimates

The console bill-estimation workflow includes five free bill estimates per month, followed by a charge of $2 for each additional bill estimate generated. These estimation fees are separate from the projected infrastructure charges shown in the result.

Services AWS Pricing Calculator integrates with

<p>AWS Pricing Calculator supports architecture planning through service-specific pricing models rather than runtime integrations. A typical application estimate combines Amazon EC2 capacity, Amazon EBS volumes, Amazon RDS databases, and Amazon S3 storage. Engineers enter consistent assumptions across these components so that compute hours, database availability, data retention, and request volumes describe the same workload.</p><p>For serverless architectures, estimate AWS Lambda execution and request charges, then add the services that invoke functions or store their results. API handling, queues, logs, and data transfer can contribute materially to the total even when function execution is inexpensive. For virtual-machine architectures, include supporting networking and storage rather than assuming the EC2 estimate covers every dependency.</p><p>Use AWS Cost Explorer to validate planning assumptions against actual usage and spending. This is a review workflow, not automatic synchronization with a public estimate. Where available, authenticated bill estimates can assess proposed changes against an existing billing baseline. Neither workflow deploys resources or purchases commitments; provisioning, governance, and commitment purchases remain separate operational steps.</p>

AWS Cost Explorer image AWS Cost Explorer

Cost Explorer complements calculator estimates by exposing historical cost and usage for validating assumptions; it does not automatically synchronize public estimates. For example, inspect recent EC2 runtime and S3 usage before preparing a revised estimate, then compare actual charges with the estimate after deployment. Authenticated bill-estimation workflows provide a separate account-aware approach to modeling changes against existing usage.

Open AWS Cost Explorer →
Amazon EC2 image Amazon EC2

The calculator models supported EC2 configurations using inputs such as Region, instance type, operating system, runtime, and purchase option. For example, estimate a fleet of Linux application servers running continuously and compare it with a schedule that stops development servers outside working hours. This is a pricing relationship, not a mechanism for launching instances.

Open Amazon EC2 →
Amazon RDS image Amazon RDS

Estimate supported RDS configurations using database engine, instance capacity, deployment option, storage, and other applicable dimensions. For example, compare a Single-AZ development database with a Multi-AZ production deployment while keeping data volume and workload assumptions consistent. Include applicable backup, I/O, and licensing considerations.

Open Amazon RDS →
AWS Lambda image AWS Lambda

Model Lambda charges using supported inputs such as request count, execution duration, memory allocation, and architecture. For example, estimate a function handling several million monthly events using measured average duration from a representative test. Add related API, logging, queue, and storage costs as separate services when the application uses them.

Open AWS Lambda →
Amazon Simple Storage Service image Amazon S3

Use supported S3 pricing inputs to estimate storage, requests, retrieval, and transfer for an object-storage workload. For example, model an application that stores uploaded files in S3 Standard and moves older objects to an archival class. Include lifecycle transition requests and expected retrieval activity rather than comparing storage rates alone.

Open Amazon S3 →