How to Choose the Best AWS Pricing Model

07-02-2025 / Cost Optimization Strategies / 11 mins.

AWS offers an extremely flexible pricing model, designed to adapt to a wide range of industries and use cases. As a result, it provides various pricing options that anyone can choose from, all of which are fair for their specific needs.

Pricing Strategies

Pay-as-you-go pricing: The pay-as-you-go model lets you pay only for the cloud resources you consume. For example, AWS bills your usage by the hour or per request. This model requires no long-term commitments or upfront payments.

Benefits of the pay-as-you-go model:

You can adjust the amount of resources you consume based on your workload needs, ensuring you pay only for what you actually use. No overprovisioning.
Scale up, scale down, pause, or terminate resources as needed, with no penalties.
If your workloads are variable or unpredictable, this on-demand pricing approach is ideal.
It allows you to test concepts without committing to long-term contracts, and scale quickly with minimal disruption to your business.
It adapts to changing market conditions without incurring large costs. You can cancel usage at any time or switch to a different plan.

This flexibility makes the pay-as-you-go model an attractive option for many AWS customers. However, as we will see later, this flexibility can come at a cost.

Pay-as-you-go pricing: The pay-as-you-go model lets you pay only for the cloud resources you consume. For example, AWS bills your usage by the hour or per request. This model requires no long-term commitments or upfront payments.

Benefits of the pay-as-you-go model:

You can adjust the amount of resources you consume based on your workload needs, ensuring you pay only for what you actually use. No overprovisioning.
Scale up, scale down, pause, or terminate resources as needed, with no penalties.
If your workloads are variable or unpredictable, this on-demand pricing approach is ideal.
It allows you to test concepts without committing to long-term contracts, and scale quickly with minimal disruption to your business.
It adapts to changing market conditions without incurring large costs. You can cancel usage at any time or switch to a different plan.

This flexibility makes the pay-as-you-go model an attractive option for many AWS customers. However, as we will see later, this flexibility can come at a cost.

Save when you commit: The commitment-based pricing model lets you obtain a discount by committing to use specific resources for a fixed period, typically one or three years.

Benefits of the commitment-based model:

Save up to 75% compared to On-Demand pricing.
No upfront payment required; you can pay monthly based on your cash flow. Alternatively, pay a portion or the full amount upfront to receive the largest discount.
Ideal for workloads with consistent resource usage that you have already optimized for peak performance.
Simplifies budget planning by knowing exactly what invoice you will receive during the contract period.
By locking in current prices, you protect yourself from future increases that could impact your budget.
If you need to exceed usage limits, you can configure your account to obtain additional resources and pay for the overage at On-Demand pricing.

Reserved Instances (RIs) and Savings Plans are included in this commitment-based pricing model.

Pay less when you use more: This model is based on usage volume: the more AWS resources you consume, the lower the price per unit. It is a strategy that leverages economies of scale in your favor.

It is especially useful for large enterprises with heavy workloads.
It also benefits smaller organizations looking to scale their operations without exceeding their budget.

A great example of this model is AWS cloud storage. The more storage you need and use, the lower the cost per GB — as is the case with Amazon S3.

The Six Current AWS Pricing Models

An AWS pricing model describes how the provider charges customers for its cloud computing services and resources. The models define the pricing mechanism, payment terms, and any associated discounts or incentives based on usage patterns.

By understanding the strengths and weaknesses of each model, you can strategically choose the most suitable pricing structure for your needs.

Pricing Models

1. Free Tier

The Free Tier offers a free introduction to try AWS products and services, helping you evaluate whether they are the right fit for your needs. More than 100 products and services are included in the AWS Free Tier.

AWS Free Tier Types:

Free Trials: Short-term, risk-free experience with an AWS product for new users (example: 60 days free of Amazon Redshift, or 750 hours over 90 days of Amazon LightSail).
12 Months Free: For new users. Includes 750 hours/month of EC2, 5 GB/month of standard storage on S3, and more.
Always Free: Resources such as Amazon DynamoDB with 25 GB of ongoing storage.

Note: If you consume beyond the specified limits or the free period expires, standard rates apply.

2. On-Demand Pricing

This "pay-as-you-go" model is the default in AWS. You are charged the standard rate with no long-term commitments.

Advantages:

Maximum flexibility: Adapt resources to meet variable needs.
No long-term commitment: Ideal for businesses with unpredictable workloads.
Immediate availability: Rapid provisioning for deployments and scaling.

Disadvantages:

Higher cost: Commitment-based options can save up to 72%.
Cost uncertainty: Unexpected price changes complicate budget planning.

Ideal Use Cases:

Applications with variable workloads.
Development and testing environments with changing requirements.

Example: An e-commerce platform can use On-Demand EC2 instances to handle fluctuating traffic, such as during discount seasons.

3. Spot Instance Pricing

This model allows you to bid on AWS excess capacity, offering savings of up to 90% compared to On-Demand rates.

Advantages:

Significant savings: Up to 90% less than On-Demand.
Flexible usage: Ideal for workloads that can tolerate interruptions.
Scalability: Run large-scale workloads at low cost.

Disadvantages:

Unpredictability: AWS can reclaim these instances with only two minutes' notice.
Limited use cases: Not suitable for critical applications requiring high availability.

Ideal Use Cases:

Batch processing, data analytics, and machine learning workloads that can tolerate interruptions.

Example: A data analytics company can use Spot Instances for large-scale processing jobs that can pause and resume based on availability.

4. Reserved Instance (RI) Pricing

RIs reserve capacity for a specific instance type in a particular region for one- or three-year terms. They offer significant discounts based on commitment level.

Advantages:

Substantial savings: Up to 75% with three-year commitments paid fully upfront.
Capacity guarantee: Ideal for mission-critical applications.
Predictable costs: Simplifies budget planning.

Disadvantages:

Long-term commitment: Requires accurate forecasting to avoid waste or cost overruns.
Less flexibility: Changing needs may limit future options.

Ideal Use Cases:

Long-term projects with predictable workloads.

Example: A financial company can reserve EC2 instances to maintain consistent capacity for trading applications.

5. Savings Plans Pricing

Savings Plans are also commitment-based, but more flexible than RIs. They offer discounts of up to 72% by committing to a specific spend ($/hour) for one or three years.

Advantages:

Flexibility: Applies to various services and instance types.
Cost efficiency: Significant savings in fluctuating usage scenarios.
Simplified management: Easier to manage than RIs due to their broad applicability.

Disadvantages:

Requires commitment: Predicting long-term usage levels can be complex.
Advanced planning needed: Exceeding limits can generate additional costs.

Ideal Use Cases:

Organizations with diverse workloads and a consistent baseline usage.

Example: A company running multiple applications can use a Savings Plan to optimize costs while maintaining flexibility.

6. Dedicated Host Pricing

Dedicated Hosts allow you to rent physical servers for exclusive use, offering full control over the placement and management of instances.

Advantages:

Meets specific licensing and regulatory compliance requirements.
Greater control: Optimizes performance, cost, and security.
Predictable costs: Simplifies financial planning.

Disadvantages:

Higher cost: More expensive than other models, especially if you do not utilize the full server capacity.

Ideal Use Cases:

Legacy applications with specific hardware requirements.
Compliance with strict regulations in sectors such as healthcare or finance.

Example: A healthcare organization can use Dedicated Hosts to meet high regulatory standards and protect sensitive data.

Pricing Factors for the Most Popular AWS Services

Amazon EC2: Several factors determine the price of Amazon Elastic Compute Cloud (EC2) instances.

Instance type: You can choose the instance type, size, and family to match your workload. Check out our guide on EC2 instances here. An instance type includes the name, vCPU, memory, and size of the virtual machine you run. Naturally, the more powerful it is, the more it costs.
AWS pricing model: We have covered this here; it includes On-Demand, Reserved Instances, Savings Plans, Dedicated Hosts, and Spot Instance pricing.
Payment options: These include full upfront, partial upfront, and no upfront payment for Reserved Instances and Savings Plans. The more you pay upfront, the greater the discount.
AWS Region and Availability Zones (AZs): Location matters when deploying EC2 instances. In general, deploying from AWS data centers in the US East (Ohio) region is the most cost-effective option in the United States. Check here to learn how AWS regions affect cloud costs.
Data transfer type: All data transfers into AWS services are free. Data transfer fees to the Internet start at $0.09 per GB. The size of the data transfer and the destination location affect the cost. Learn more about AWS data transfer costs here (including strategies to reduce data egress costs).
Operating system: Linux-based systems are the least expensive on AWS, while Windows-based systems are the most expensive.
Additional features: Some of these include the use of Amazon EBS (block-level storage), NAT gateway networking, and more.

Amazon S3: The following factors determine the cost of this AWS object storage service.

Storage volume: S3 storage volume is measured in gigabytes (GB). Pricing is tiered and decreases as usage increases.
Storage class: S3 offers seven storage classes based on access frequency: S3 Standard, S3 Standard – Infrequent Access, S3 One Zone – Infrequent Access, S3 Glacier, S3 Glacier Deep Archive, and S3 Intelligent-Tiering. The less frequently data is accessed, the more cost-effective the storage.
Data transfer fees: Data transfers into your S3 account are generally free. Data transfer costs from S3 to the Internet and other services start at $0.05 per GB (if you transfer more than 150 TB per month) or $0.09 per GB (if you transfer less than 10 TB). Remember, the more you transfer, the less you pay.
Data management tools: You can choose the type of replication, queries, transformation, processing with S3 Object Lambda, retrieval speed, and other operations you want for your data.
API calls and requests: This includes the types and number of data retrieval operations you perform. AWS considers requests such as SELECT, GET, LIST, POST, COPY, PUT, etc.
AWS Region: Again, the US East (Ohio) region offers the most competitive pricing for Amazon S3.
Additional features: For example, applying S3 data lifecycle policies to automatically move your data to a more cost-effective storage class over time. Others include data transfer acceleration and AWS PrivateLink.

AWS Lambda: offers precise billing (per second) for serverless computing. AWS Lambda pricing is based on the compute time used. In addition, charges are based on:

Execution time measured in milliseconds (rounded to the nearest ms).
Number of invocation calls or requests for a function.
Amount of memory allocated in gigabytes (GB).
CPU architecture used (X86 or Arm).
Whether you leverage Compute Savings Plans, which apply to provisioned concurrency and duration.
Allocated ephemeral storage.
Whether or not you use provisioned concurrency.

DynamoDB: its pricing is based on three key factors: reading, writing, and storing data. Optional features include additional costs, such as:

Data transfer from DynamoDB to the Internet or other AWS services.
On-demand backup.
Continuous backup.
Restore from backup.
Global tables.
DynamoDB Streams.
Data export to Amazon S3.
Data import from Amazon S3.
Change data capture for AWS Glue.
Change data capture for Amazon Kinesis Data Streams.

In addition, DynamoDB pricing depends on the capacity mode chosen: On-Demand capacity or Provisioned Capacity.

Amazon RDS

Database engine (Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle DB, Microsoft SQL Server DB).
Database instance type, such as db.m5.8xlarge.
Location (database region).
Pricing model (On-Demand vs. Reserved Instances).
Storage type (General Purpose SSD, Provisioned IOPS SSD, or Magnetic storage).
Additional features, such as data transfer fees, snapshot exports, and backups.

Amazon EKS

Amazon Elastic Kubernetes Service (EKS) pricing is straightforward. It costs $0.10 per hour for each active Amazon EKS cluster. Additional resources, such as compute and storage, are the user's responsibility. You will pay for the EC2 instances running Kubernetes pods on EKS.

Check out this guide on Amazon ECS pricing if you want to compare EKS vs. ECS for your containerized applications.