FS family · Compute Optimizedx86_64 · Intel/AMD

F4s

The Azure F4s (Standard_F4s) is a virtual machine from the Fs series, with 4 vCPUs, 8 GB of RAM and 16 GB of temporary storage. On-demand pricing starts at $0.1990/hour in East US.

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

Save up to $114/mo on every F4s

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

Pricing Overview

The Azure F4s costs $0.1990/hour ($145.27/month) for Linux and $0.3830/hour ($279.59/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
$0.1990$145.27 Baseline
1-Year Reserved Instance
N/AN/A Baseline
3-Year Reserved Instance
N/AN/A Baseline
Spot Instance
$0.0430$31.38 -78%
You could save $113.89/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
$145.27
730 hrs × $0.1990/hr × 1

Compute

x86_64 · Intel/AMD
vCPUs i4
Memory i8 GB
Physical processorIntel® Xeon® Processor
Nested VirtualizationSupported
Sole TenantSupported
GPUNone
Within FS family
F1s
1 vCPU
F2s
2 vCPU
F4s
4 vCPU
F8s
8 vCPU
F16s
16 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 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)

Compare with another instance

vs.
SpecF4sF1sΔ
vCPUs41-75%
Memory8 GB2 GB-75%
Hourly Price$0.1990$0.0497-75%
Monthly Price$145.27$36.28-75%
Cost optimization

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

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