Azure App Service Cost Calculator

Cost an App Service plan from its instance rate, autoscale range and average load, with reserved-instance discounts.

Inputs

Instance rateUSD/hour

A Premium v3 P1v3 Linux instance lists near $0.146/hour.

Minimum instancesinstances

Maximum instancesinstances

Average position in the autoscale range%

0% sits at the minimum all month, 100% sits at the maximum.

Billed hours per monthhours

Commitment term

IP-based TLS bindingsbindings

SNI TLS bindings are free; IP-based bindings are charged.

Price per IP-based TLS bindingUSD/month

Monthly Cost

$401.37

Average Instances Billed

3.4instances

Plan Compute Charge

$362.37

Cost if Pinned at Maximum

$639.48

TLS Binding Charge

$39.00

Saving from Autoscaling

$277.11

Annual Cost

$4,816.46

Step by step

Values used
Instance rate = 0.1460 USD/hour; Minimum instances = 2 instances; Maximum instances = 6 instances; Average position in the autoscale range = 35 %; Billed hours per month = 730 hours; Commitment term = Pay-as-you-go; IP-based TLS bindings = 1 bindings; Price per IP-based TLS binding = 39 USD/month
Azure App Service Cost
average instances = min + (max − min) × average load; monthly = average instances × instance rate × commitment factor × 730 + IP-based TLS bindings.
Monthly Cost
= 401.37
Average Instances Billed
= 3.4 instances
Plan Compute Charge
= 362.37
Cost if Pinned at Maximum
= 639.48
TLS Binding Charge
= 39.00
Saving from Autoscaling
= 277.11

How it works

An App Service plan bills every running instance by the hour regardless of how many apps are deployed into it, so the cost driver is the instance count that autoscale settles at rather than the number of web apps. Deployment slots run on the same plan instances, which is why a staging slot is free in cost but not in capacity. Plans are routinely left at a fixed high instance count 'for safety', and the gap between the average and the pinned-maximum figure here is the money that autoscaling would return; reserved instances on Premium v3 add another 35–55% but lock the tier for the term, so confirm current rates in the Azure pricing calculator.

Formula

Azure App Service Cost

average instances = min + (max − min) × average load; monthly = average instances × instance rate × commitment factor × 730 + IP-based TLS bindings.

average load: Where in the autoscale band the plan typically sits
commitment factor: Reserved-instance rate as a fraction of pay-as-you-go
instance rate: Hourly price of one worker in the plan's tier

Frequently Asked Questions

How is Azure App Service Cost calculated?

average instances = min + (max − min) × average load; monthly = average instances × instance rate × commitment factor × 730 + IP-based TLS bindings. An App Service plan bills every running instance by the hour regardless of how many apps are deployed into it, so the cost driver is the instance count that autoscale settles at rather than the number of web apps. Deployment slots run on the same plan instances, which is why a staging slot is free in cost but not in capacity.

Why does Azure App Service Cost matter?

Plans are routinely left at a fixed high instance count 'for safety', and the gap between the average and the pinned-maximum figure here is the money that autoscaling would return; reserved instances on Premium v3 add another 35–55% but lock the tier for the term, so confirm current rates in the Azure pricing calculator.

What values do I need to enter?

This calculator takes 8 inputs: Instance rate, Minimum instances, Maximum instances, Average position in the autoscale range, Billed hours per month, Commitment term, IP-based TLS bindings, Price per IP-based TLS binding. The pre-filled defaults are a realistic starting point — replace them with figures from your own environment for a result you can act on.

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