Cloud Cost Comparison 2026

Cloud Cost Comparison 2026

Cloud pricing is complex, and direct comparisons between providers are notoriously difficult because each provider uses different machine type naming, pricing models, discount structures, and billing granularity. This guide provides an honest, apples-to-apples cost comparison across AWS, Azure, GCP, and OCI for the most common cloud services: compute instances, managed Kubernetes, object storage, block storage, managed databases, serverless functions, data egress, and load balancing.

All prices are current as of early 2026 for US regions (us-east-1, East US, us-central1, US-ASHBURN). Prices vary by region, with Asia-Pacific and South America typically 10-30% more expensive. Reserved instance and committed use discounts can reduce costs by 30-72% depending on provider and commitment term. This guide uses on-demand prices as the baseline and notes discount availability.

The goal is not to declare a single "cheapest" cloud (the answer always depends on your specific workload) but to give you the data needed to make informed decisions for each service category.

Compute Instance Pricing

We compare equivalent general-purpose instances across providers. Each provider names their machine types differently, but the underlying hardware (Intel, AMD, or ARM processors with similar core counts and memory) is comparable.

General-Purpose Instances (4 vCPU, 16 GB RAM)

ARM-Based Instances (4 vCPU, 16 GB RAM)

Managed Kubernetes Pricing

Object Storage Pricing

Data Egress Pricing

Data egress (outbound data transfer to the internet) is often the most surprising cost on cloud bills. The pricing differences across providers are dramatic and can significantly impact the total cost of ownership for data-intensive applications.

Managed Database Pricing

PostgreSQL (4 vCPU, 16 GB RAM, 100 GB storage)

Serverless Function Pricing

Load Balancer Pricing

Cost Optimization Tools

# AWS: Check cost and usage for last 30 days
aws ce get-cost-and-usage \
  --time-period Start=2026-02-14,End=2026-03-14 \
  --granularity MONTHLY \
  --metrics "BlendedCost" \
  --group-by Type=DIMENSION,Key=SERVICE \
  --output table

# Azure: View cost analysis
az costmanagement query --type ActualCost \
  --scope "/subscriptions/SUBSCRIPTION_ID" \
  --timeframe MonthToDate \
  --dataset-aggregation '{"totalCost": {"name": "Cost", "function": "Sum"}}' \
  --dataset-grouping name=ServiceName type=Dimension

# GCP: View billing export in BigQuery
# (Requires billing export to BigQuery enabled)
bq query --use_legacy_sql=false "
  SELECT service.description AS service,
    SUM(cost) AS total_cost,
    SUM(credits.amount) AS total_credits
  FROM \`MY_PROJECT.billing_export.gcp_billing_export_v1_XXXXX\`
  WHERE DATE(usage_start_time) >= '2026-02-14'
  GROUP BY service.description
  ORDER BY total_cost DESC
  LIMIT 20
"

# OCI: View cost analysis
oci usage-api usage-summary request-summarized-usages \
  --tenant-id TENANCY_OCID \
  --granularity MONTHLY \
  --time-usage-started "2026-02-14T00:00:00Z" \
  --time-usage-ended "2026-03-14T00:00:00Z" \
  --group-by '["service"]'

Discount Programs Comparison

Key Takeaways