Aws Lambda Pricing Calculator

A detailed tool to forecast your serverless function costs on AWS.

Estimate Your Lambda Costs

Cost Breakdown Visualization

Dynamic chart visualizing the proportion of Request vs. Compute costs.

What is an AWS Lambda Pricing Calculator?

An AWS Lambda Pricing Calculator is a specialized tool designed to estimate the monthly cost of running serverless applications on AWS Lambda. Unlike generic calculators, it is tailored to Lambda’s specific pricing model, which is based on two primary metrics: the number of requests (invocations) and the compute duration (measured in GB-seconds). This calculator helps developers, and financial planners forecast expenses, optimize costs, and make informed decisions about resource allocation for their serverless architecture.

AWS Lambda Pricing Formula and Explanation

The total monthly cost for AWS Lambda is calculated by summing the costs for requests and compute duration after applying the monthly free tier allowances.

Total Monthly Cost = (Billable Requests * Price per Request) + (Billable Compute GB-s * Price per GB-s)

AWS provides a perpetual free tier that includes 1 million requests and 400,000 GB-seconds of compute time per month. Our aws lambda pricing calculator automatically factors in this free tier. For more details on pricing, see the official AWS Lambda pricing page.

Variables used in the AWS Lambda pricing model.

Variable	Meaning	Unit	Typical Range
Memory Allocation	RAM assigned to the function. Also determines CPU power.	Megabytes (MB)	128 – 10,240
Execution Duration	The time it takes for your code to run from start to finish.	Milliseconds (ms)	1 – 900,000
Monthly Requests	The total number of times the function is invoked in a month.	Count	0 – Billions
Compute GB-seconds	The product of memory (in GB) and execution time (in seconds).	GB-seconds	Varies widely

Practical Examples

Example 1: A High-Traffic Web API

Imagine a popular API backend that handles user authentication and data retrieval. It runs on an x86 architecture.

• Inputs:
  • Architecture: x86
  • Memory: 1024 MB
  • Average Duration: 150 ms
  • Monthly Requests: 25,000,000
• Results (Approximate):
  • Request Cost: $4.80
  • Compute Cost: $52.08
  • Total Estimated Cost: $56.88

Example 2: An Infrequent Data Processing Job

Consider a batch job that processes uploaded files. It’s memory-intensive but runs infrequently. The company opts for Arm architecture for better cost-efficiency.

• Inputs:
  • Architecture: Arm
  • Memory: 2048 MB
  • Average Duration: 5,000 ms (5 seconds)
  • Monthly Requests: 50,000
• Results (Approximate):
  • Request Cost: $0.00 (within free tier)
  • Compute Cost: $0.78
  • Total Estimated Cost: $0.78

Understanding ARM vs x86 pricing on AWS can lead to significant savings.

How to Use This AWS Lambda Pricing Calculator

1. Select Architecture: Choose between ‘x86’ and ‘Arm (AWS Graviton2)’. Arm often provides a cost saving of around 20%.
2. Enter Memory Allocation: Input the amount of RAM in MB you will assign to your function.
3. Enter Execution Duration: Provide the average execution time of your function in milliseconds (ms).
4. Enter Monthly Requests: Input the total number of times you expect your function to be invoked per month.
5. Review Results: The calculator will instantly display the estimated total monthly cost, along with a breakdown of request and compute charges. The chart will also update to visualize the cost distribution.

Key Factors That Affect AWS Lambda Pricing

• Function Memory: This is the most significant factor. Higher memory allocation increases the per-millisecond cost but can decrease execution time. Finding the right balance is key.
• Execution Time: The longer your code runs, the more you pay. Optimizing your code for speed directly translates to cost savings.
• Processor Architecture (x86 vs. Arm): Functions running on Arm (Graviton2) processors have a lower price for compute duration, offering up to 34% better price-performance.
• Number of Requests: While individual requests are cheap, costs can accumulate at very high volumes.
• Code Efficiency: Inefficient code with long runtimes will drastically increase your compute costs.
• Free Tier Usage: Fully utilizing the free tier of 1 million requests and 400,000 GB-seconds can significantly reduce or even eliminate your bill for smaller applications.

For more insights on cost management, check out this guide on AWS Lambda cost management.

Frequently Asked Questions (FAQ)

Is the AWS Lambda free tier available indefinitely?

Yes, the free tier for AWS Lambda, which includes 1 million requests and 400,000 GB-seconds of compute time per month, does not expire after 12 months and is available to all customers indefinitely.

How does memory choice affect cost?

The cost per millisecond is directly proportional to the memory allocated. Doubling the memory also doubles the compute cost for the same duration. However, more memory might reduce execution time, so it’s important to benchmark your function. To learn more, see this article on AWS Lambda pricing explained.

What’s the difference between Arm and x86 pricing?

Arm (Graviton2) architecture has a compute price that is about 20% lower than x86. Request pricing is the same for both architectures. Choosing Arm can lead to significant savings for compute-intensive workloads.

Does this calculator include data transfer costs?

No, this calculator focuses on request and compute costs. Data transfer between Lambda and other AWS services in the same region is generally free, but data transfer out to the internet is not.

How do I find my function’s average duration?

You can find the average execution duration in Amazon CloudWatch Logs for your Lambda function. This is the best source for accurate data to input into the calculator. This is discussed in a post about how to calculate lambda cost.

What is a “GB-second”?

A GB-second is the unit of compute duration. It’s calculated by multiplying the memory your function uses (in GB) by the time it runs (in seconds). For example, a function using 512MB (0.5GB) of memory that runs for 200ms (0.2s) consumes 0.1 GB-seconds (0.5 * 0.2).

Can I use this for provisioned concurrency?

This calculator is designed for on-demand Lambda usage. Provisioned Concurrency has a different pricing model where you pay for the time the concurrency is active, which is not covered here.

How accurate is this aws lambda pricing calculator?

This calculator uses the latest standard pricing for the US East (N. Virginia) region and provides a very close estimate. However, actual costs can vary slightly due to factors like tiered pricing at extreme volumes or regional price differences. For an official estimate, you can use the AWS Pricing Calculator.