AWS vs GCP vs Azure Pricing (2026): Which Is Actually Cheapest?

The Real Cost of Cloud: It's Not What the Pricing Pages Say

I've migrated workloads across all three major cloud providers over the past decade, and here's the uncomfortable truth: the cheapest cloud provider depends entirely on your workload. AWS, Google Cloud, and Azure each win in different scenarios, and the pricing pages are deliberately designed to make comparisons difficult. Hidden costs in bandwidth, cross-AZ traffic, and support tiers can swing your monthly bill by 30-40%.

This guide breaks down real 2026 pricing across compute, storage, networking, and managed services. I'll show you actual monthly cost simulations for three common workload types so you can make an informed decision instead of guessing.

What Does Cloud Computing Cost in 2026?

Definition: Cloud computing costs include on-demand and reserved compute instances, storage volumes, network egress charges, managed service fees, and support plans. The total cost of ownership (TCO) also factors in engineering time for operations, migration effort, and vendor lock-in risk.

The big three -- AWS, GCP, and Azure -- all use a pay-as-you-go model, but their pricing structures differ significantly. AWS and Azure charge per-second with a one-minute minimum for most instances. GCP charges per-second with a one-minute minimum and automatically applies sustained-use discounts after you cross usage thresholds. That automatic discount is a genuine differentiator for steady-state workloads.

Compute Pricing Comparison: VMs Head to Head

Let's compare equivalent general-purpose instances across all three providers. These are the workhorses most teams use for web servers, APIs, and background workers.

Spec	AWS (m7i.xlarge)	GCP (n2-standard-4)	Azure (D4s v5)
vCPUs	4	4	4
RAM	16 GB	16 GB	16 GB
On-demand ($/hr)	$0.2016	$0.1942	$0.1920
On-demand ($/month)	$147.17	$141.77	$140.16
1-yr reserved/committed	$93.43 (37% off)	$88.01 (38% off)	$84.10 (40% off)
3-yr reserved/committed	$59.13 (60% off)	$62.82 (56% off)	$54.02 (61% off)
Spot/Preemptible ($/hr)	~$0.0605	~$0.0583	~$0.0384

Pro tip: Azure's spot pricing is consistently 60-80% cheaper than on-demand, making it the best option for fault-tolerant batch workloads. But Azure spot VMs have a higher eviction rate than AWS spot instances. If your workload needs 2+ hours of uninterrupted compute, AWS spot with capacity reservations is more reliable.

Sustained-Use Discounts: GCP's Hidden Advantage

GCP automatically discounts instances that run more than 25% of the month. At full utilization, you get a 30% discount without any commitment. Neither AWS nor Azure offers anything equivalent -- you must pre-commit to reserved instances or savings plans to get discounts. For teams that can't predict capacity 1-3 years out, GCP's sustained-use pricing saves 20-30% compared to on-demand on the other platforms.

Storage Pricing: Object, Block, and Archival

Storage Type	AWS	GCP	Azure
Object (Standard, per GB/mo)	$0.023 (S3)	$0.020 (GCS)	$0.018 (Blob Hot)
Object (Infrequent, per GB/mo)	$0.0125 (S3 IA)	$0.010 (Nearline)	$0.010 (Blob Cool)
Archive (per GB/mo)	$0.004 (Glacier IR)	$0.0012 (Coldline)	$0.002 (Archive)
Block (SSD, per GB/mo)	$0.08 (gp3)	$0.080 (pd-ssd)	$0.076 (Premium SSD)
Block (HDD, per GB/mo)	$0.045 (st1)	$0.040 (pd-standard)	$0.036 (Standard HDD)

Azure wins on standard object storage pricing, but the retrieval costs tell a different story. GCP Coldline charges $0.02/GB for retrieval vs $0.03/GB for Glacier Instant Retrieval. If you access archived data more than once a quarter, GCP's archive tier is cheaper overall despite similar per-GB rates.

Networking and Egress: The Silent Budget Killer

Egress -- data leaving the cloud -- is where the real money hides. All three providers charge for outbound traffic, and the rates are shockingly similar because there's an unspoken agreement not to compete here.

Egress Tier	AWS	GCP	Azure
First 1 GB/month	Free	Free	Free (5 GB)
1-10 TB/month	$0.09/GB	$0.085/GB	$0.087/GB
10-50 TB/month	$0.085/GB	$0.065/GB	$0.083/GB
50-150 TB/month	$0.070/GB	$0.045/GB	$0.075/GB
Cross-AZ (per GB)	$0.01	$0.01	Free (same region)

GCP is the clear winner for bandwidth-heavy workloads. At 50 TB/month egress, GCP saves you roughly $1,250/month compared to AWS. Azure's free cross-region traffic within the same geography is a significant advantage for multi-AZ deployments -- AWS and GCP both charge $0.01/GB for cross-AZ traffic, which adds up fast in microservice architectures making thousands of cross-zone calls per second.

Watch out: NAT Gateway charges on AWS are a hidden killer. Every GB that passes through a NAT Gateway costs $0.045 on top of regular egress fees. A busy application pushing 10 TB/month through NAT pays an extra $450 just for the privilege. GCP's Cloud NAT is cheaper at $0.045/GB for the first 32 VMs, but scales down to $0.015/GB at higher usage.

Managed Services: Where Costs Diverge Dramatically

Managed Databases

A 4-vCPU, 16 GB RAM PostgreSQL instance with 100 GB SSD storage:

• AWS RDS: ~$290/month (db.m7g.xlarge, single-AZ, on-demand)
• GCP Cloud SQL: ~$265/month (db-custom-4-16384, single-zone)
• Azure Database for PostgreSQL: ~$275/month (GP_Standard_D4ds_v5)

Multi-AZ/HA doubles these costs on all three. GCP's AlloyDB is pricier at ~$380/month for the same spec but delivers 4x the throughput on OLTP workloads -- worth it if you're consolidating multiple databases.

Managed Kubernetes

The control plane tells an interesting story:

• AWS EKS: $0.10/hr ($73/month) per cluster
• GCP GKE: Free for one zonal cluster, $0.10/hr for Autopilot/regional
• Azure AKS: Free control plane (standard tier: $0.10/hr)

GKE's free tier is a real advantage for small teams. But the node compute costs are where the money actually goes, and those follow the VM pricing above.

Real-World Cost Simulations

Scenario 1: SaaS API Backend (Mid-Size)

3 app servers (4 vCPU, 16 GB), 1 managed PostgreSQL (multi-AZ), 500 GB object storage, 2 TB egress/month, load balancer, DNS.

Component	AWS	GCP	Azure
Compute (3x reserved 1-yr)	$280	$264	$252
Database (multi-AZ)	$580	$530	$550
Object Storage	$12	$10	$9
Egress (2 TB)	$180	$170	$174
Load Balancer	$22	$18	$20
Total	$1,074	$992	$1,005

Scenario 2: Data Pipeline (Batch Processing)

10 spot/preemptible instances (8 vCPU, 32 GB) running 12 hrs/day, 5 TB object storage, 500 GB egress, managed message queue.

Component	AWS	GCP	Azure
Compute (10x spot, 12h/day)	$660	$635	$420
Object Storage (5 TB)	$115	$100	$90
Egress (500 GB)	$45	$43	$44
Message Queue	$35 (SQS)	$40 (Pub/Sub)	$30 (Service Bus)
Total	$855	$818	$584

Azure dominates the batch processing scenario thanks to aggressive spot pricing. If your workloads are fault-tolerant and can handle evictions, Azure spot instances provide the best cost efficiency in 2026.

Scenario 3: High-Traffic Content Platform

5 app servers, CDN with 50 TB egress, 10 TB object storage, managed Redis, managed PostgreSQL.

Component	AWS	GCP	Azure
Compute (5x reserved 1-yr)	$467	$440	$421
CDN Egress (50 TB)	$4,250	$3,500	$3,750
Object Storage (10 TB)	$230	$200	$180
Managed Redis	$150	$140	$145
Database (multi-AZ)	$580	$530	$550
Total	$5,677	$4,810	$5,046

GCP wins decisively for content-heavy workloads. The $867/month savings over AWS comes almost entirely from egress pricing. At this scale, that's over $10,000/year -- enough to fund an engineer for a month.

Hidden Costs Most Teams Miss

1. Support plans -- AWS Business Support costs 10% of monthly spend (minimum $100/month). GCP's equivalent is $500/month flat. At $5,000/month cloud spend, AWS support costs $500 vs GCP's $500 -- they converge. Below that, GCP is more expensive for support.
2. Data transfer between services -- moving data from S3 to EC2 in a different AZ costs $0.01/GB each way. This adds up to hundreds of dollars monthly in data-intensive architectures.
3. IP address charges -- AWS now charges $0.005/hr ($3.65/month) per public IPv4 address. If you have 20 services with public IPs, that's $73/month for addresses alone.
4. Log storage -- CloudWatch Logs ingestion is $0.50/GB. A verbose application logging 100 GB/month pays $50 just for ingestion. GCP's Cloud Logging is $0.50/GB too, but the first 50 GB/month is free.
5. Monitoring -- CloudWatch custom metrics cost $0.30 each per month. 100 custom metrics is $30/month. Prometheus on GCP Managed Service is cheaper at scale but has a steep learning curve.

Pro tip: Enable billing alerts at 50%, 80%, and 100% of your budget on all three providers from day one. AWS Cost Explorer, GCP's Billing Dashboard, and Azure Cost Management are all free. Set up weekly automated reports -- the teams that review costs weekly spend 25-35% less than those that check monthly.

Frequently Asked Questions

Which cloud provider is cheapest for startups?

GCP is typically cheapest for startups spending under $5,000/month thanks to sustained-use discounts that require no upfront commitment and a generous free tier. AWS and Azure both offer startup credit programs ($5,000-$100,000) that can offset costs in the first 1-2 years, so apply for those regardless of which provider you choose.

Is multi-cloud worth the extra cost?

For most companies, no. Multi-cloud adds 30-50% engineering overhead for abstraction layers, duplicated infrastructure code, and cross-cloud networking. The cost savings from cherry-picking services rarely offset the operational complexity. Use one primary cloud and consider multi-cloud only when a specific service (like BigQuery or Azure AD) has no viable equivalent.

How much can reserved instances actually save?

One-year reservations save 35-40% across all three providers. Three-year commitments save 55-62%. The catch is accuracy -- if you over-provision reserved capacity, you pay for unused resources. Start by reserving your baseline (the minimum you know you'll need) and use on-demand or spot for variable workloads.

Why is egress so expensive on all cloud providers?

Egress pricing is a lock-in mechanism. Making it expensive to move data out discourages migration to competitors. GCP has been the most aggressive in reducing egress costs to attract customers from AWS. Cloudflare's bandwidth alliance and R2 storage (zero egress fees) are pushing all three providers to gradually lower rates.

Do serverless functions change the cost comparison?

At low scale (under 1 million invocations/month), serverless costs are negligible on all three platforms. At high scale (100M+ invocations), AWS Lambda is slightly cheaper per invocation than Cloud Functions or Azure Functions, but the difference is under 10%. The real cost variable is execution duration and memory allocation, not per-invocation pricing.

How accurate are cloud cost calculators?

The official calculators (AWS Pricing Calculator, GCP Pricing Calculator, Azure Pricing Calculator) are accurate for compute and storage but consistently underestimate networking costs by 20-40%. They don't model cross-AZ traffic, NAT gateway fees, or DNS query charges well. Use them as a starting point, then add 25% for networking overhead.

The Verdict: Choosing Your Cloud Provider in 2026

There's no universally cheapest provider. GCP wins for bandwidth-heavy and ML workloads. Azure wins for batch processing and Microsoft-integrated enterprises. AWS wins for ecosystem breadth and mature managed services -- you'll spend less engineering time working around limitations.

Start with your top 3 cost drivers (usually compute, database, and egress), model those across all three providers, and add 25% for hidden costs. The provider that wins on your top 3 will almost always be the cheapest overall. Don't optimize for pennies on storage when egress is eating your budget.