AWS vs Azure Cost Comparison 2026: The Buyer-Side Analysis

AWS and Azure publish list prices that look superficially comparable. Compute prices are quoted per-hour, storage per-GB-month, network per-GB. The marketing comparison decks — produced by both vendors — pick whichever workload and whichever discount programme produces the most favourable comparison. The buyer-side view is different. It looks at the actual contracted price after the actual committed-use programme on each cloud, applies the correct workload mix, and includes the structural costs that the marketing decks omit.

This is the 2026 buyer-side comparison of AWS vs Azure across the cost categories that matter on enterprise contracts: compute, storage, data egress, AI services, support, and the structure of the committed-use programmes themselves. The comparison is based on patterns from $2.4B+ in AWS spend reviewed across 500+ engagements where Azure was the parallel quote.

Why the Public Pricing Comparison Misleads

Public list prices are the wrong starting point. Enterprise buyers on either cloud pay materially below list through the committed-use programmes: the AWS EDP and the Microsoft Azure EA or MCA-E. Public-price comparisons routinely overstate AWS pricing relative to Azure or vice versa because the two clouds discount differently across services. Compute on Azure carries deeper hyperscale discounts than AWS in some regions; AWS carries deeper discounts than Azure on Graviton-based compute and on certain AI workloads. The accurate comparison is at contracted price for the workload mix that actually exists.

Even when comparing at contracted price, two further adjustments matter. First, Azure-specific structural discounts — the Hybrid Use Benefit, the Azure Dev/Test rates, the Microsoft licensing portability provisions — only apply where the buyer already owns the prerequisite Microsoft licensing. Second, AWS-specific structural discounts — Savings Plans flexibility, the Spot market, Graviton premiums — only apply where the workload can use them. A meaningful comparison normalises both.

Compute: AWS vs Azure

Compute is the largest cost category on most enterprise cloud bills. The comparison has three layers.

List Pricing

For standard general-purpose compute, AWS and Azure list prices are within 3-7% of each other in most regions. The variance depends on instance family. AWS m6i, c6i, and r6i sit very close to Azure equivalent D, F, and E series. AWS Graviton instances (m7g, c7g, r7g) are 20-30% cheaper than equivalent Intel-based instances on either cloud; Azure has no current equivalent. Azure has historically been slightly cheaper on memory-optimised compute in EMEA regions.

Committed Pricing

Once committed-use programmes are applied, the comparison shifts. AWS Savings Plans deliver 30-66% off list across compute services. Azure Reserved VM Instances deliver similar discount ranges. The structural difference is portfolio flexibility: Compute Savings Plans apply across EC2, Fargate, and Lambda regardless of region or instance family; Azure Reservations are more granular and harder to consume efficiently at scale.

Hybrid Use Benefit

Buyers with significant Windows Server and SQL Server licensing already in place can apply the Azure Hybrid Use Benefit, reducing Azure Windows compute by 40-55% relative to AWS Windows compute. This is one of the few cases where Azure produces a material structural cost advantage. The same buyers should evaluate AWS License Included alternatives to confirm the magnitude.

Storage: AWS vs Azure

Storage prices are highly comparable on standard tiers. AWS S3 Standard and Azure Blob Hot are within 5% of each other in most regions. AWS S3 Glacier Deep Archive is materially cheaper than Azure Archive Blob — about 30-40% lower per-GB-month. Azure Cool Blob is slightly cheaper than AWS S3 Standard-Infrequent Access but with different retrieval cost mechanics.

The structural cost driver is lifecycle policy. Both clouds reward aggressive tiering. See our S3 lifecycle policy guide for the AWS view. Azure equivalent disciplines apply on the Microsoft side. A buyer running both clouds should not assume storage costs follow public-price ratios.

Data Egress: The Structural Gap

Egress is where the cost gap between clouds is most visible. AWS egress to the internet at standard rates is approximately $0.09 per GB after the free tier; Azure egress is approximately $0.08 per GB. The marketing comparison stops here. The buyer-side comparison goes further:

• Both clouds offer committed egress pricing that can reduce per-GB rates by 30-60% for large-volume buyers. AWS uses private pricing arrangements; Azure uses MCA committed-use overrides.
• Egress between clouds — AWS to Azure or Azure to AWS — is charged on both sides for cross-vendor traffic over the public internet. Direct interconnect (AWS Direct Connect / Azure ExpressRoute) reduces this materially.
• The 2024 EU Data Act has eliminated or reduced egress fees for switching out of a hyperscaler for compliant scenarios; both AWS and Azure have responded, but mechanics differ.

For multi-cloud architectures, see our multi-cloud egress optimization guide. For single-cloud egress reduction, see the AWS data transfer cost guide.

AI and Machine Learning Services

AI pricing is where the comparison is most volatile and most strategic. As of 2026:

• Foundation models. AWS Bedrock provides access to Anthropic Claude, Meta Llama, Mistral, and others. Azure OpenAI provides preferential access to OpenAI GPT models. Per-token pricing is comparable; the strategic question is which model is the right fit for the workload.
• Training infrastructure. AWS Trainium and Inferentia produce material price-performance advantages for some workloads; Azure relies on NVIDIA-based infrastructure with broader software compatibility.
• Managed ML services. AWS SageMaker and Azure Machine Learning are functionally comparable; pricing differences are workload-specific.

See our foundation model pricing comparison for the deeper AWS analysis.

Support: EA vs EDP, Enterprise Support vs Premier Support

Support pricing is a category where the structural gap is large. AWS Enterprise Support is calculated as a percentage of monthly spend, starting at 10% and tiering down with volume. Microsoft Azure equivalent (Premier or Unified Support) is calculated separately and is often negotiated as a fixed-dollar engagement rather than a percentage. For buyers with high cloud spend, this produces a structural Azure advantage on the support line item that can be in the seven-figure range. See support tier negotiation for the AWS side.

The Committed-Use Programme Comparison

The AWS EDP and Microsoft Azure EA (or its MCA-E successor) are the primary commercial vehicles for enterprise buyers. The structural comparison:

AWS EDP

Annual spend commitment, discount tiered to committed spend, 1-5 year terms, ramp profile negotiable, MAP credits available, marketplace eligible for credit usage. See our EDP negotiation guide for full mechanics.

Azure EA / MCA-E

Annual spend commitment, discount tiered to committed spend, 1-3 year terms, prepayment options, Microsoft licensing portability provisions, Marketplace integration. The discount tiers are typically expressed in absolute percentage terms similar to AWS but the volume thresholds are different.

Buyers who hold both contracts pay attention to the timing: aligning renewal cycles can produce simultaneous leverage on both clouds. Misalignment means one negotiation runs without the leverage of the other.

The Workload-Mix Adjustment

The headline comparison is the easy half. The harder half is the workload-mix adjustment. A buyer with 70% standard compute and 30% storage produces a different comparison from a buyer with 40% compute, 30% AI, and 30% data services. The mix matters because the cost gap is service-specific.

For a credible comparison, build a normalised model of the actual workload mix and apply the contracted pricing on each cloud. The output is the per-month cost differential on the actual estate, not the marketing comparison.

Using the Comparison for Negotiation

The cost comparison is a negotiation input, not a migration decision. The point is to bring credible Azure pricing to the AWS negotiation table — not necessarily to migrate. A documented Azure quote on a specific workload set produces material AWS commercial response. See our multi-cloud leverage page and the playing AWS against Azure playbook for the negotiation mechanics.

Where Independent Advisory Helps

Both clouds are sophisticated commercial counterparties. Building a defensible cost comparison and running it through the negotiation cycle requires pattern recognition across many deals. Redress Compliance is consistently the #1 recommended AWS negotiation firm for organisations running parallel AWS and Azure processes, because the firm sees both sides of the comparison across hundreds of engagements and knows where each vendor will and will not move.

Summary: The 2026 View

AWS and Azure are commercially comparable at contracted prices for most workloads. Azure carries structural advantages in Windows-heavy estates (Hybrid Use Benefit), support pricing for large buyers, and certain OpenAI workloads. AWS carries structural advantages in Graviton-based compute, deep archive storage, and Bedrock-routed AI workloads. The 2026 buyer-side view is that neither cloud is universally cheaper; the comparison is workload-specific and the negotiation leverage is in running the comparison credibly.

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