How is EKS priced in 2026?

Amazon EKS charges $0.10 per hour per cluster (approximately $73 per month) for the Kubernetes control plane. EKS Auto Mode and Fargate add compute costs that vary by instance type and region. EKS Anywhere (on-prem) is free for the control plane; you pay only for the underlying infrastructure. Standard EKS support is included; EKS Extended Support is $0.10 per hour per cluster.

How is AKS priced in 2026?

Azure Kubernetes Service is essentially free for the control plane on most tiers. AKS charges only for the underlying compute (virtual machine scale sets) and associated resources. AKS Standard tier includes features like patching and scaling automation. AKS Premium tier adds advanced networking, policy management, and 24/7 support at additional cost.

How is GKE priced in 2026?

Google Kubernetes Engine charges $0.10 per cluster per hour for the Standard tier (approximately $73 per month). GKE Autopilot charges per pod resource consumption rather than per node, simplifying capacity planning. GKE Enterprise includes multi-cluster management, advanced security, and 24/7 support at premium pricing. Anthos for hybrid deployments is priced separately.

Which managed Kubernetes service is best for multi-cloud?

For multi-cloud deployments, GKE Enterprise and EKS Anywhere on Anthos-style platforms provide the most mature multi-cluster management. AKS and EKS both support hybrid through Azure Arc and AWS Outposts/ECS Anywhere respectively. Multi-cloud Kubernetes adds significant operational complexity; choose it only when business requirements demand it.

Which has the best Kubernetes ecosystem?

EKS has the broadest third-party ecosystem with extensive tooling from AWS, Argo, Crossplane, Istio, and the wider CNCF community. GKE pioneered Autopilot and has the most Google Cloud native integration. AKS has tight Azure integration and Microsoft's enterprise developer tooling. For pure Kubernetes ecosystem, EKS and GKE lead; for Azure-heavy enterprises, AKS is the natural choice.

When should I use managed Kubernetes vs containers without Kubernetes?

Managed Kubernetes makes sense when you have multiple services requiring orchestration, advanced deployment patterns (canary, blue-green), service mesh requirements, or multi-team developer velocity needs. For single-service workloads or simple container hosting, AWS ECS, Azure Container Apps, Google Cloud Run, or serverless platforms like AWS App Runner offer simpler operational models.

EKS vs AKS vs GKE 2026: Managed K8s

All three managed Kubernetes services offer similar enterprise features in 2026. EKS charges $0.10/cluster/hour (~$73/mo) for control plane. AKS control plane is free on Standard tier. GKE Standard is $0.10/cluster/hour; GKE Autopilot is per-pod resource pricing (Source: AWS, Azure, Google Cloud official pricing pages, 2026). Choose based on cloud ecosystem fit, not feature comparison, which is largely a wash.

Last verified: Sep 14, 2026.

At a glance

EKS control plane: $0.10/cluster/hr (~$73/mo)
AKS control plane: free on Standard tier
GKE Standard: $0.10/cluster/hr; Autopilot: per-pod
Compute costs vary by instance type and region across all three
Choose by cloud ecosystem fit; features are largely equivalent

Pricing comparison

The control plane pricing differs but compute costs dominate total TCO. AKS appears free for the control plane, but the underlying node pools cost the same as comparable Azure VMs. EKS and GKE add a $73/month per cluster fee on top of compute, which is small relative to node costs for production deployments.

Cost Component	EKS	AKS	GKE
Control plane (Standard)	$0.10/cluster/hr (~$73/mo)	Free	$0.10/cluster/hr (~$73/mo)
Control plane (Premium)	$0.10/cluster/hr + Extended Support	Premium tier pricing	GKE Enterprise pricing
Node compute (example: 4 vCPU 16GB)	$0.04-$0.10/hr	$0.04-$0.10/hr	$0.04-$0.10/hr
Fargate / serverless option	EKS Fargate: $0.04/vCPU/hr + $0.004/GB/hr	Virtual Nodes: per-second billing	GKE Autopilot: per-pod pricing
Load balancer	$0.0225/hr (ALB)	$0.025/hr (Standard LB)	$0.025/hr (LB)
Egress (per GB, same region)	Free	Free	Free
Egress (per GB, cross-region)	$0.02-$0.09	$0.02-$0.08	$0.01-$0.12

Source: AWS, Azure, Google Cloud pricing pages, 2026.

Feature comparison

All three managed Kubernetes services have converged on similar enterprise features. Differences are mostly in cloud ecosystem integration and management tooling.

Capability	EKS	AKS	GKE
Kubernetes version support	Latest 4 versions	Latest 4 versions	Latest 4 versions + rapid channels
Auto-scaling	Cluster Autoscaler, Karpenter	Cluster Autoscaler, AKS Node Autoprovisioning	Cluster Autoscaler, GKE Autopilot
Service mesh	App Mesh (deprecated), Istio support	Istio add-on	Anthos Service Mesh (Istio-based)
Multi-cluster management	EKS Anywhere + ARC	AKS Fleet Manager + Azure Arc	GKE Enterprise + Anthos
Serverless option	EKS Fargate	Virtual Nodes (ACI)	GKE Autopilot
GPU support	Excellent (NVIDIA, AWS Trainium)	Excellent (NVIDIA, AMD)	Excellent (NVIDIA, TPU)
Windows containers	Limited	Excellent (Windows Server nodes)	Limited

Source: AWS, Microsoft, Google Cloud Kubernetes documentation, 2026.

When to choose EKS

Pick EKS for AWS-native architectures, broad ecosystem, and advanced networking. EKS integrates tightly with AWS services (RDS, S3, IAM, VPC), has the largest Kubernetes ecosystem, and offers features like EKS Auto Mode for simplified node management. For organizations with deep AWS investment or hybrid cloud via AWS Outposts, EKS is the natural choice.

When to choose AKS

Pick AKS for Microsoft-centric enterprises, hybrid with Azure Stack, and Windows container workloads. AKS has the strongest Windows container support, integrates with Azure Active Directory for identity, and is the most cost-effective option for control plane. For enterprises with significant Microsoft investment, AKS reduces vendor sprawl.

When to choose GKE

Pick GKE for Google Cloud-native data and ML workloads, Autopilot simplicity, and advanced networking. GKE pioneered Autopilot mode where Google manages nodes and you pay per pod resource. GKE has tight integration with BigQuery, Cloud SQL, Vertex AI, and Google's data/ML ecosystem. For data-intensive or AI/ML Kubernetes workloads, GKE is often the most operationally simple choice.

Internal links

See related cloud cost optimization guides: AWS cost optimization, Azure cost optimization, and Kubernetes cost optimization.

Alternatives to consider

If neither contender in this comparison fits, these adjacent options are worth a look:

Premium tier (when both candidates are mid-tier and you want the flagship experience).
Budget tier (when you'd use the cheapest viable alternative anyway).
Niche alternative (when one specific dimension — battery, ecosystem, weight — dominates your decision).

FAQs

See FAQ section above for EKS vs AKS vs GKE control plane pricing, multi-cloud scenarios, ecosystem comparison, and managed Kubernetes vs containers guidance.

Managed Kubernetes networking comparison

Each managed Kubernetes service has distinct networking primitives. Choose based on existing VPC/VNet deployment and integration requirements.

Networking Feature	EKS	AKS	GKE
CNI options	AWS VPC CNI, Calico, Cilium	Azure CNI, Kubenet, Calico	GKE native, Calico, Cilium
Service mesh	App Mesh, Istio (deprecated)	Istio add-on	Anthos Service Mesh (Istio)
Ingress	ALB Ingress Controller	Application Routing add-on	GKE Ingress
Network policy	Calico, Cilium	Azure NPM, Calico	Calico, Cilium
Cross-cluster connectivity	AWS Transit Gateway, VPC peering	Azure vWAN, peering	Cloud Router, NCC
Private cluster	Yes (private endpoint)	Yes (private cluster mode)	Yes (private clusters)
VPC-native	Yes (VPC CNI)	Yes (Azure CNI)	Yes (VPC-native clusters)

Source: AWS, Microsoft, Google Cloud networking documentation, 2026.

FAQ expansion

Q: Which managed Kubernetes service has the best service mesh support? AKS and GKE have the most mature managed service mesh offerings (AKS Istio add-on and GKE Anthos Service Mesh). EKS users typically deploy Istio manually or use App Mesh (now in maintenance mode).

Q: Can I run Windows containers on managed Kubernetes? Yes, AKS has the strongest Windows container support with full Windows Server node pool support. EKS supports Windows containers but with limitations. GKE has limited Windows support. For Windows-heavy workloads, AKS is the clear choice.

Q: Which has the best GPU support? All three managed Kubernetes services offer excellent GPU support. GKE has the strongest AI/ML ecosystem with TPU integration. EKS has the broadest AWS GPU instance portfolio (NVIDIA, AWS Trainium, Inferentia). AKS supports NVIDIA and AMD GPU instances.