LS family · Storage Optimizedx86_64 · Intel/AMD

L16s

The Azure L16s (Standard_L16s) is a virtual machine from the Ls series, with 16 vCPUs, 128 GB of RAM and 2807 GB of temporary storage. On-demand pricing starts at $1.4960/hour in Southeast Asia.

Updated September 3, 2026
vCPUs
16
Memory
128 GB
Network
Up to 8–16 Gbps
Storage
2807 GB Temp SSD

Save up to $890/mo on every L16s

Connect Azure — we'll find the optimal pricing model for your workload.

Pricing Overview

The Azure L16s costs $1.50/hour ($1092.08/month) for Linux and $2.23/hour ($1629.36/month) for Windows in Southeast Asia, as of 3 September 2026.

All pricing options

Southeast Asia · USD · Linux OS · monthly = 730 hrs
Prices exclude local taxes
Term / TierHourlyMonthlySavings
Standard Tier — On-Demand
$1.4960$1092.08 Baseline
1-Year Reserved Instance
N/AN/A Baseline
3-Year Reserved Instance
N/AN/A Baseline
Spot Instance
$0.2765$201.82 -82%
You could save $890.26/mo on this instance with the right pricing model.
Find my savings

Monthly cost estimator

Estimate your spend based on actual usage.
730 h
1h365h730h (24/7)
1
Estimated monthly
$1092.08
730 hrs × $1.4960/hr × 1

Compute

x86_64 · Intel/AMD
vCPUs i16
Memory i128 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%

Connect your Azure account to apply this pricing logic to every running instance automatically.

Networking

Max egress bandwidth8–16 Gbps
Tier 1 bandwidthN/A
Enhanced networking iYes (gvnic/virtio)
IPv6 supportYes (Dual-stack VPC)

Storage

Max persistent disks64
Max disk size32 TB
Local SSDsSupported (Scratch Disk)

Compare with another instance

vs.
SpecL16sL4sΔ
vCPUs164-75%
Memory128 GB32 GB-75%
Hourly Price$1.4960$0.3740-75%
Monthly Price$1092.08$273.02-75%
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.