Kubernetes Cost Calculator: EKS vs GKE vs AKS (2026)

Compare monthly Kubernetes cluster costs across AWS EKS, Google GKE, and Azure AKS.

Monthly Cost Breakdown

Compute Cost
$91.01
nodes × hourly rate × 730h
Management Fee
$73.00
control plane fee
Storage Cost
$30.00
nodes × GB × $0.10/GB
Networking Estimate
$45.00
nodes × $15/mo base
Total Monthly Cost
AWS t3.medium
$239.01
Annual estimate: $2,868.12
Hidden Costs Not Included
NAT Gateway ($32-45/mo per AZ on AWS), Load Balancers ($18-25/mo each), Logging/monitoring (CloudWatch, Stackdriver), Inter-AZ data transfer ($0.01/GB), and IP addresses ($3.65/mo each on AWS). These can add 20-40% to your base compute cost.

Instance Comparison Across Providers

Size AWS GCP Azure
Small (2 vCPU, 4 GB) t3.medium e2-medium B2s
Medium (4 vCPU, 16 GB) m5.xlarge e2-standard-4 D4s_v3
Large (8 vCPU, 32 GB) m5.2xlarge e2-standard-8 D8s_v3
X-Large (16 vCPU, 64 GB) m5.4xlarge e2-standard-16 D16s_v3

How to Use This Calculator

1
Pick your cloud
Select AWS, GCP, or Azure
2
Configure your cluster
Set nodes, size, and storage
3
Review total cost
Monthly estimate with breakdown
The True Cost of Kubernetes
The control plane fee is just the beginning. A production K8s cluster includes compute, storage, networking, load balancers, NAT gateways, and monitoring. A "minimal" 3-node cluster often costs $300-500/mo once you add production essentials. Right-sizing and spot instances can cut costs by 60%.

The Essentials

Management Fee
EKS/GKE: ~$73/mo. AKS: Free control plane
Right-Size Nodes
Larger nodes = better bin-packing efficiency
Spot/Preemptible
Save 60-90% on non-critical workloads
NAT Gateway Tax
AWS NAT Gateway: $32/mo + data charges per AZ
Multi-AZ Cost
3 AZs = 3x NAT, 3x node minimum
Reserved Instances
Commit 1-3 years for 30-60% savings

Frequently Asked Questions

How Much Does Kubernetes Cost in 2026?

A production Kubernetes cluster typically runs $150–$500/month for a minimal 3-node setup, scaling to $5,000+/month for larger production workloads. The total breaks into 5 components:

  • Control plane — EKS: $0.10/hr (~$73/mo), GKE Standard: $0.10/hr, AKS: free, GKE Autopilot: no cluster fee but higher pod pricing
  • Worker nodes (compute) — usually the largest line item. A 3-node m5.large cluster on AWS = ~$210/mo on-demand
  • Storage (EBS / PD / Azure Disks) — $10–50/mo for typical workloads
  • Networking — load balancers, NAT gateways, data egress. Often the surprise: NAT Gateway alone is ~$32/mo per gateway + per-GB charges
  • Add-ons — logging, monitoring, ingress controllers. $20–200/mo depending on stack

EKS vs GKE vs AKS: Quick Decision

AKS wins on free control plane — Azure doesn't charge the $73/mo cluster fee. GKE Autopilot wins on simplicity — Google manages nodes and you pay per pod resource. EKS wins on enterprise adoption and integrations — most teams already on AWS pick it. For a deeper EKS-specific breakdown including EC2 vs Fargate, see the EKS Pricing Calculator.

How to Cut Kubernetes Costs by 30–60%

Most clusters are over-provisioned by 50%+. Five high-ROI levers, in order of typical impact:

  1. Right-size pod CPU and memory requests based on actual usage (P95) rather than guess. See the Container Size Calculator for starting points by runtime.
  2. Use Spot / Preemptible instances for stateless workloads — typically 60–90% off on-demand pricing
  3. Add VPC endpoints for S3 and ECR on AWS to skip NAT Gateway per-GB charges
  4. Enable Cluster Autoscaler to drain and remove idle nodes automatically
  5. Consolidate to fewer, larger clusters when org structure allows — better bin-packing, fewer control-plane fees

What This Calculator Includes (and What It Doesn't)

This estimate covers control-plane fees, on-demand compute for your selected node count and instance type, and EBS-equivalent storage. It does not include data egress, third-party SaaS add-ons (e.g. Datadog), or development tooling. For production planning, add 15–25% buffer for the items above and another 10% for typical waste before optimization.

Kubernetes costs out of control?

Recon breaks down costs by namespace, detects idle resources, and recommends right-sizing — across EKS, GKE, and AKS. Stop guessing, start optimizing.

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