AWS · Amazon Web Services

EC2 vs Lambda: VMs vs Serverless, When to Use Each (2026)

Last verified: June 18, 2026  ·  Format: Comparison

EC2 vs Lambda is the question almost everyone hits when they start building compute on AWS, and the honest answer is that neither one wins outright. They are two different models for running your code. Amazon EC2 gives you a resizable virtual machine you provision and manage, always on and paid for while it runs. AWS Lambda gives you serverless, event-driven functions with no servers to manage, billed per request and per second of compute, and scaling to zero when nothing is happening. The choice is fit-for-workload: persistent, steady compute points to EC2, while event-driven, bursty work points to Lambda.

This comparison is plain and practical. We line the two services up at a glance, explain how each compute model works, lay the pricing side by side with exact figures, weigh scaling, control, and operations, and close with a decision section for picking EC2 or Lambda. Pricing and service details below are drawn from AWS documentation and were checked on June 18, 2026; always confirm current figures on the AWS site before you commit. For the wider catalog both services sit inside, see our what is AWS overview.

EC2 vs Lambda at a Glance

Before the detail, here is the quick verdict. This is a fit-for-workload call, not a leaderboard: the right answer depends on whether your work is persistent or event-driven, and many real systems use both. Use the two cards below as a fast filter, then read on for the pricing and operational specifics that decide close calls.

How Each Compute Model Works

EC2 and Lambda answer the same need (run my code on AWS) in opposite ways. The clearest way to see the EC2 vs Lambda contrast is to walk through what you actually operate in each one.

Amazon EC2: a virtual machine you run

With Amazon EC2 you provision a resizable virtual machine and manage it yourself. AWS offers more than 1,000 instance types across Intel, AMD, and Arm Graviton processors, so you size the machine to the job. Once it is running, you control it down to the operating system: you choose the runtimes, install custom software, patch it, and scale it up or out as demand changes. The trade is that the machine is always on. You pay for the capacity you provision whether or not it is busy, which is efficient for steady, predictable workloads and wasteful for spiky ones.

AWS Lambda: a function that runs on events

With AWS Lambda there is no machine for you to see, size, or manage. You upload a function, tell Lambda what should trigger it (an API request, a new object in storage, a message on a queue), and AWS runs your code on demand. Functions are event-driven and fully managed: capacity planning, patching, and availability are Amazon's job, not yours. Memory is configurable from 128 MB to 10,240 MB, with CPU scaling alongside it. The trade is less control and a workload that is time and memory bounded, so long-running or stateful processes fit EC2 better. For the standards-body framing behind the whole on-demand, metered model both services use, our what is cloud computing guide covers the foundations.

Pricing Compared: EC2 vs Lambda

Pricing is where the two models diverge most sharply, because each bills for a different thing. EC2 bills for provisioned capacity over time. Lambda bills for requests and the compute duration your code actually uses. Neither is automatically cheaper; the workload decides.

How EC2 is priced

Amazon EC2 uses per-second billing with a 60-second minimum, and it offers several purchasing models that trade flexibility for discount:

• On-Demand: pay for capacity by the second with no commitment, the most flexible and the baseline rate.
• Savings Plans: commit to a steady amount of usage for up to 72% off On-Demand.
• Spot: use spare capacity for up to 90% off On-Demand, for fault-tolerant or interruptible work.
• Reserved Instances and Dedicated Hosts: reserve capacity, or get physically dedicated servers, for steady or compliance-driven needs.

The through-line is that you pay for the machine while it is provisioned, so high, predictable utilization is what makes EC2 cost-efficient.

How Lambda is priced

AWS Lambda bills on two metered components and charges nothing while a function is idle:

• Requests: $0.20 per million requests. Every invocation counts as one request.
• Compute duration (x86): $0.0000166667 per GB-second, where a GB-second is one second of run time at 1 GB of allocated memory.
• Compute duration (Arm / Graviton): $0.0000133334 per GB-second, a lower rate than x86.
• Free tier: 1,000,000 requests and 400,000 GB-seconds of compute free every month.

Because Lambda scales to zero, intermittent and low-traffic workloads can run at very low or no cost, while a constantly busy workload may cost more on Lambda than on a well-utilized EC2 instance. Rates and allowances change, so confirm the current numbers on the Amazon EC2 pricing page and the AWS Lambda pricing page before you plan around them.

Scaling, Control and Operations

Beyond price, EC2 vs Lambda is a trade between control and operational burden. The more of the stack you manage, the more you can tune; the less you manage, the less you operate.

Scaling

EC2 scales because you make it scale: you add or remove instances, configure auto scaling, and choose how much headroom to keep. You pay for the capacity you provision even when it is idle, so right-sizing is an ongoing discipline. Lambda scales automatically per event, running many copies of your function in parallel when demand spikes and dropping to zero when events stop, with no capacity for you to manage and no idle charge.

Control and operations

EC2 hands you full control of the operating system, runtimes, and software, which is exactly what you want for custom or legacy stacks, but it also hands you the operational work: patching, capacity planning, and availability are yours. Lambda removes that work by making capacity, patching, and availability Amazon's responsibility, at the cost of a more constrained, time and memory bounded execution model. Persistent state belongs outside a Lambda function, often in object storage such as Amazon S3 or a managed database, whereas an EC2 instance can hold long-running processes and in-memory state directly.

Which to Choose: EC2 or Lambda

The decision comes down to the shape of your workload, not a winner. Both services are first-class AWS compute, and large architectures routinely use both, with EC2 for the steady core and Lambda for the event-driven edges. Use the checklist below to place your workload.

Frequently Asked Questions