LS family · Storage Optimizedx86_64 · Intel/AMD

L4s

The Azure L4s (Standard_L4s) is a virtual machine from the Ls series, with 4 vCPUs, 32 GB of RAM and 678 GB of temporary storage. On-demand pricing starts at $0.3430/hour in East US.

Updated September 3, 2026
vCPUs
4
Memory
32 GB
Network
Up to 1–4 Gbps
Storage
678 GB Temp SSD

Save up to $204/mo on every L4s

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Region
Currency
OS
Pricing Overview

The Azure L4s costs $0.3430/hour ($250.39/month) for Linux and $0.8890/hour ($648.97/month) for Windows in East US, as of 3 September 2026.

All pricing options

East US · USD · Linux OS · monthly = 730 hrs
Prices exclude local taxes
Term / TierHourlyMonthlySavings
Standard Tier — On-Demand
$0.3430$250.39 Baseline
1-Year Reserved Instance
N/AN/A Baseline
3-Year Reserved Instance
N/AN/A Baseline
Spot Instance
$0.0634$46.27 -82%
You could save $204.12/mo on this instance with the right pricing model.
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Monthly cost estimator

Estimate your spend based on actual usage.
730 h
1h365h730h (24/7)
1
Estimated monthly
$250.39
730 hrs × $0.3430/hr × 1
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Compute

x86_64 · Intel/AMD
vCPUs i4
Memory i32 GB
Physical processorIntel® Xeon® Processor
Nested VirtualizationSupported
Sole TenantSupported
GPUNone
Within LS family
L4s
4 vCPU
L8s
8 vCPU
L16s
16 vCPU
L32s
32 vCPU

Lock in this rate across your fleet — typically save 30–40%

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Networking

Max egress bandwidth1–4 Gbps
Tier 1 bandwidthN/A
Enhanced networking iYes (gvnic/virtio)
IPv6 supportYes (Dual-stack VPC)

Storage

Max persistent disks16
Max disk size32 TB
Local SSDsSupported (Scratch Disk)
Instance storage: Persistent Disk only by default — attach volumes for persistent storage.

Compare with another instance

vs.
SpecL4sL8sΔ
vCPUs48+100%
Memory32 GB64 GB+100%
Hourly Price$0.0000$0.0000—
Monthly Price$0.00$0.00—
Open full family comparison →
Cost optimization

Azure recommender alerts can cut this bill ~30-40%.

Connect your Azure account. We'll identify every underutilized Ls.* instance and show exactly where downsizing, cleaning up orphaned disks, or shifting to reservations saves money — with zero code changes.

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