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Microsoft Azure
Enterprise cloud integrated with Microsoft ecosystem
Classical hyperscaler🇺🇸 USinferenceenterprise
Last reviewed Mar 14, 2026
Azure provides comprehensive cloud computing services with strong enterprise integration, advanced AI capabilities, and a wide range of GPU options for machine learning, visualization, and high-performance computing workloads.
Available GPUs
Hourly on-demand pricing. Click column headers to sort.
Prices last updated: September 9, 2026
Microsoft Azure pricing by GPU
Configurations, price rank, and alternatives for one GPU at a time.
LLM API Pricing
Pay-per-token pricing. Prices shown per 1M tokens.
Prices last updated: September 9, 2026
| Model | Input/1M | Output/1M | |||
|---|---|---|---|---|---|
| $0.150 | $0.600 | ||||
| $1.10 | $4.40 | ||||
| $1.25 | $10.00 | ||||
| $1.75 | $14.00 | ||||
| $1.75 | $14.00 | ||||
| $2.00 | $8.00 | ||||
| $2.00 | $12.00 | ||||
| $2.50 | $15.00 | ||||
| $2.50 | $10.00 | ||||
| $5.00 | $30.00 | ||||
Microsoft Azure pricing by model
Input, output, and batch rates, plus alternatives, for one model at a time.
Pros & Cons
Advantages
- Strong enterprise integration and support
- Comprehensive AI and machine learning services
- Advanced security and compliance features
- Extensive hybrid cloud capabilities
- Wide range of GPU options
- Strong .NET and Windows workload support
- Integrated development tools and DevOps services
Limitations
- Complex pricing and billing structure
- Can be expensive for certain workloads
- Steeper learning curve for new users
- Some services have limited regional availability
- Documentation can be fragmented
Key Features
Microsoft Foundry
Unified AI platform with a catalog of models, agents, and tools for building and governing AI applications
Enterprise Integration
Seamless integration with Microsoft ecosystem and enterprise tools
Hybrid Capabilities
Strong hybrid and multi-cloud support with Azure Arc
Advanced Security
Industry-leading security features and compliance certifications
Global Scale
Extensive worldwide network of data centers and edge locations
Compute Services
Azure Virtual Machines
GPU-enabled VMs for various workloads
Azure Kubernetes Service (AKS)
Managed Kubernetes service with GPU support
- Integrated GPU node pools
- Automated scaling and updates
- DevOps integration
Azure Machine Learning
End-to-end ML platform with GPU acceleration
- Automated ML capabilities
- Integrated MLOps
- Distributed training support
Inference Services
Azure OpenAI in Foundry Models
Access to OpenAI's models through Microsoft Foundry on Azure, with enterprise security, compliance, and regional deployment options.
- Enterprise Security: Azure Active Directory integration, private endpoints, and data encryption
- Regional Deployment: Deploy models in specific Azure regions for data residency compliance
- Responsible AI: Built-in content filtering and abuse monitoring
- Provisioned Throughput: Reserved capacity for predictable performance and pricing
Pricing Models
- Pay-as-you-go: Per-token pricing matching OpenAI rates for most models
- Provisioned Throughput Units: Reserved capacity for guaranteed throughput and predictable costs
Pricing Options
| Option | Details |
|---|---|
| Pay as you go | Pay for compute capacity by the second, with no long-term commitments or upfront payments |
| Reserved VM Instances | Significant cost reduction versus pay-as-you-go rates in exchange for a one-year or three-year term; suited to stable, predictable workloads |
| Spot VMs | Unused Azure compute capacity at deep discounts for interruptible workloads |
| Azure Hybrid Benefit | Cost savings for existing Windows Server and SQL Server licenses |
| Azure savings plan for compute | Save money across select compute services globally by committing to spend a fixed hourly amount for 1 or 3 years |
Availability & Support
Regions
60+ regions worldwide with multiple availability zones
Support
Basic, Developer, Standard, and Professional Direct support plans with 24/7 options. Extensive documentation and community resources.
Getting Started
- 1
Create an Azure account
Sign up for Azure and get started with free credits
- 2
Set up your environment
Configure your subscription, resource groups, and access controls
- 3
Choose compute services
Select from VMs, containers, or serverless based on your needs
- 4
Deploy resources
Launch your first GPU-enabled instance or AI service
Frequently Asked Questions
What GPU types does Microsoft Azure offer?
Microsoft Azure offers various GPU types including Tesla T4, Tesla T4, A100 SXM, A100 SXM, A100 SXM, A100 SXM, H100 SXM, H200, H100 NVL, H100 NVL, MI300X. Check the pricing table above for current availability and pricing.
How do I get started with Microsoft Azure?
Create an Azure account, Set up your environment, Choose compute services, Deploy resources
What are Microsoft Azure's main advantages?
Microsoft Azure's main advantages include: Strong enterprise integration and support, Comprehensive AI and machine learning services, Advanced security and compliance features, Extensive hybrid cloud capabilities, Wide range of GPU options, Strong .NET and Windows workload support, Integrated development tools and DevOps services.
What are Microsoft Azure's limitations?
Microsoft Azure's main limitations include: Complex pricing and billing structure, Can be expensive for certain workloads, Steeper learning curve for new users, Some services have limited regional availability, Documentation can be fragmented.
Compare Providers
Find the best prices for the same GPUs and models from other providers
All Microsoft Azure Comparisons
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