Struggling to choose between AWS Savings Plans and Reserved Instances? This guide breaks down key differences, pricing, flexibility, and best use cases to help you reduce cloud costs while maintaining scalability.
When it comes to AWS cost optimization, businesses often struggle to balance savings and flexibility. Commitment-based pricing models like AWS Savings Plans and Reserved Instances (RIs) offer significant discounts compared to On-Demand pricing, but choosing the right one requires a strategic approach.
Reserved Instances have long been a go-to option for predictable workloads, offering higher discounts but with rigid terms. Savings Plans, on the other hand, provide more flexibility, making them ideal for dynamic environments. The challenge? Understanding which model aligns best with your cloud usage patterns.
This guide breaks down the key differences between AWS Savings Plans and Reserved Instances, covering pricing, flexibility, use cases, and best practices to help you make the right choice for your cloud strategy. Read on!

AWS Savings Plans offer a flexible, commitment-based pricing model that provides up to 72% savings on compute usage compared to On-Demand pricing. In exchange for a fixed hourly spend commitment over a one- or three-year term, AWS automatically applies discounted rates to eligible compute services. Unlike Reserved Instances, Savings Plans do not require selecting a size, operating system, or tenancy, offering greater flexibility for evolving workloads.
AWS offers three types of Savings Plans, each designed to balance flexibility and cost savings differently based on workload requirements:
1. Compute Savings Plans
Compute Savings Plans provide the most flexibility, allowing businesses to apply discounts across EC2, AWS Fargate, and Lambda usage without restrictions on instance types, operating systems, or regions.
2. EC2 Instance Savings Plans
EC2 Instance Savings Plans offer the highest possible savings, but they are restricted to only EC2 service (do not cover RDS) and a specific EC2 instance family within a single AWS region. This makes them ideal for predictable, long-term workloads that do not require flexibility across instance types or locations.
3. SageMaker Savings Plans
SageMaker Savings Plans are specifically designed for Amazon SageMaker workloads, offering discounts on ML model training and inference jobs without being tied to specific instance types.
AWS Savings Plans automatically apply discounted rates to eligible usage, prioritizing maximum savings for committed spend. If the usage exceeds the committed amount, the excess is billed at standard On-Demand rates.
For example, if a business commits to $10/hour in a Compute Savings Plan, AWS applies that $10 to the lowest-cost eligible compute usage—whether across different instance families, sizes, or even AWS services like Fargate or Lambda. If the company’s actual usage exceeds $10/hour, the additional consumption is charged at On-Demand rates.
AWS Reserved Instances (RIs) provide a commitment-based pricing model that offers up to 72% savings compared to On-Demand pricing. Unlike Savings Plans, RIs require businesses to commit to a specific instance type, region, and operating system for one- or three-year terms in exchange for discounted rates.
It’s possible to use Reserved instances also for RDS, ElastiCache, RedShift, OpenSearch, MemoryDB, and DynamoDB. But this article focuses more on the EC2 Reserved Instances.

RIs are ideal for predictable, long-term workloads where instance configurations remain consistent over time.
AWS offers two types of Reserved Instances, each catering to different levels of flexibility and savings:
Standard RIs provide the highest possible discounts, but they come with limited flexibility - once purchased, they cannot be changed easily except through RI modification or selling in the AWS RI Marketplace.
Convertible RIs allow businesses to exchange their Reserved Instances for different instance types, sizes, or operating systems within the same AWS family, providing more flexibility than Standard RIs but at a slightly lower discount.
When a business purchases a Reserved Instance, AWS applies the discounted pricing to the specific instance type and region selected for the commitment term. The organization continues paying for the reserved capacity, regardless of whether the instance is fully utilized.
For example, if a business purchases an m5.large Standard RI in us-east-1 for $5/hour, AWS applies the discounted pricing to all matching m5.large instances running in that region. If the company launches more m5.large instances beyond the reserved amount, the extra usage is charged at On-Demand rates.
Some Reserved Instances include a feature called Instance Size Flexibility. This doesn’t mean you can change the reserved instance itself, but rather that the reservation applies to different sizes within the same instance family. For example, if you purchase a large reserved instance, it can also be used for an xlarge instance, since an xlarge instance is essentially double the size.
The tables below provide a detailed comparison of AWS Savings Plan vs Reserved Instances across key factors like pricing, flexibility, commitment levels, and best use cases.

Here is an additional comparison table showing that AWS Savings Plans offer more flexibility across services with automatic adjustments, lower overcommitment risk, and no resale options.

Even AWS promotes Savings Plans within the AWS Management Console as a preferred cost-saving option over Reserved Instances. But you should first decide if you want to compare EC2 Savings Plan vs Reserved Instances, or also count Compute Savings Plan.

Savings Plans offer a simpler, more flexible approach by allowing businesses to commit to an hourly spend rather than locking into specific configurations. This makes it easier to manage costs while maintaining scalability.
However, there are specific scenarios where Reserved Instances still make sense - especially when leveraging the AWS RI Marketplace to resell unused reservations. Let's explore a detailed comparison of both options.
Choose AWS Savings Plans if:
Savings Plans are ideal for businesses with dynamic workloads that require long-term cost savings but need flexibility in how resources are used.
Choose AWS Reserved Instances if:
Reserved Instances are best for businesses with fixed, high-utilization workloads where cost savings matter more than flexibility.
** Still struggling to choose between AWS Savings Plans and Reserved Instances? Contact us for a quick Well-Architected Review of your infrastructure, and we'll help you determine the best option for your needs. **

No, RIs and Savings Plans are separate commitment models. However, you can combine them and for example purchase Savings Plans while still using existing RIs.
No, Savings Plans only offer pricing discounts, whereas RIs guarantee reserved capacity for Zonal Reserved Instances.
Standard Reserved Instances offer the highest discounts (up to 72%), but Compute Savings Plans provide more flexibility (up to 66% savings).
No, both are non-refundable. However, Convertible RIs allow modifications, and Standard RIs can be resold in the AWS RI Marketplace.
There is a significant difference in how these two billing functions work in AWS. I believe this article highlights the main differences, but you should first determine what type of Savings Plan you need.
Both plans offer significant cost savings, but the right choice between Saving plans vs Reserved instances depends on your workload’s predictability and flexibility needs. Savings Plans are ideal for dynamic, evolving workloads, while RIs work best for fixed, long-term infrastructure with capacity reservation needs.
Before committing, analyze your usage patterns, scaling needs, and budget to determine which model aligns best with your cloud strategy.
As you continue to develop and optimize your cloud strategy, follow Stormit’s blog for more valuable content on cloud technologies and best practices.
Adam Novotny is an AWS Solutions Architect at Stormit with 5+ years of experience designing and optimizing AWS cloud architectures.
He supports customers across the full cloud lifecycle — from pre-sales consulting and solution design to AWS funding programs such as AWS Activate, Proof of Concept (PoC), and the Migration Acceleration Program (MAP).
Adam holds the AWS Certified Solutions Architect – Professional and AWS Certified CloudOps Engineer – Associate certifications.