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Foundry Models pricing

Empower enterprises to access top-tier models, deploy with confidence and optimize for performance

Microsoft Foundry is a unified platform to design, customize, manage, and support AI applications and agents. We have a wide choice of over 11,000+ models covering a broad range of foundation models, reasoning models, multimodal models, industry models and domain specific models integrated within Azure's enterprise-grade AI stack.

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Prices are estimates only and are not intended as actual price quotes. Actual pricing may vary depending on the type of agreement entered with Microsoft, date of purchase, and the currency exchange rate. Prices are calculated based on US dollars and converted using London closing spot rates that are captured in the two business days prior to the last business day of the previous month end. If the two business days prior to the end of the month fall on a bank holiday in major markets, the rate setting day is generally the day immediately preceding the two business days. This rate applies to all transactions during the upcoming month. Sign in to the Azure pricing calculator to see pricing based on your current program/offer with Microsoft. Contact an Azure sales specialist for more information on pricing or to request a price quote. See frequently asked questions about Azure pricing.

Managed Compute

Managed Compute in Microsoft Foundry Models gives you dedicated GPU infrastructure to deploy and run open-source and custom AI models on enterprise-grade GPUs, without managing the underlying hardware. Choose from A100, H100, H200, and MI300 GPU families, scale automatically with your traffic, and pay only for what you use.

GPU Price/1 Compute Hour
Managed A100 80G Global $-
Managed H100 Global $-
Managed H200 Global $-
Managed MI300 Global $-

Serverless Deployment

Foundry Models continues to grow with cutting-edge additions—including models from OpenAI, DeepSeek, xAI’s Grok, Meta’s Llama, Mistral AI, FLUX by Black Forest Labs, and more. These models are fully hosted and managed on Azure, and available through both pay-as-you-go and provisioned throughput options. With Provisioned Throughput, you can even flex capacity across multiple models, such as OpenAI and DeepSeek, for greater efficiency and control.

Language models

Models Input (Per 1M tokens) Cached Input (Per 1M tokens) Output (Per 1M tokens)
Kimi K2 Thinking DataZone $- N/A $-
Kimi K2 Thinking Global $- N/A $-
Kimi K2.5 Thinking Global $- $- $-
Kimi K2.6 Thinking Global $- $- $-
Kimi K2.7 Code $- $- $-

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Additional resources

Foundry Models

Learn more about Foundry Models features and capabilities.

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