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Azure OpenAI in Foundry Models

by Microsoft@microsoftRedmond, Washington, USANo ratings yet

Azure-hosted access to OpenAI models for building apps and agents

Visit azure.microsoft.com
Tool type
Hosted OpenAI model API on Azure
Made for
Developers and enterprise teams
Runs on
Azure cloud API endpoints
Models are called through Azure-hosted deployments; the Microsoft Foundry portal is used to deploy and manage them.
Last checked
28 Oct 2026
2 product sources

What it does

Azure OpenAI in Foundry Models gives organizations API access to OpenAI's text, reasoning, image, audio, and video models hosted on Microsoft Azure. Developers send prompts, audio, images, or documents to a deployed model and receive text, speech, images, or video in return, with options for fine-tuning and connecting models to agents.

Teams typically use it to build customer support tools, summarize conversations, generate marketing or product content, analyze proprietary data, and automate routine workflows. Its distinguishing points on the page are Azure-level data privacy controls, regional and global deployment choices, built-in content safety tooling, and integration with other Azure services such as Azure AI Search and Foundry Agent Service.

This suits developers and enterprises already working in the Azure ecosystem who need compliance controls and predictable capacity. Access requires an Azure account and a deployed model; pricing is pay-as-you-go by token or provisioned throughput. Many model prices are not visible in the captured text, and the service is described as having limited access for some use cases.

What it can do

  • Text generation and reasoning with OpenAI GPT model series
  • Multimodal input including images and documents
  • Real-time and speech audio models for voice applications
  • Image generation and editing models
  • Fine-tuning to customize models for specific business needs
  • Built-in content moderation and responsible AI tooling

Works with

  • Azure AI Search
  • Foundry Agent Service
  • Azure Cosmos DB
  • Microsoft Fabric

Example workflows

Summarize customer support calls
Input: call transcript text. Steps: send the transcript to a deployed GPT model with a summarization prompt; receive a structured summary with issue and resolution. Output: concise call summary for the support record.
Answer questions over internal documents
Input: a user question and documents indexed in Azure AI Search. Steps: retrieve relevant passages, send them with the question to a GPT model, return the answer. Output: a grounded answer that references source documents.

Before you choose

  • Pricing varies by model, deployment type, and context length, and many current rates are not shown in the captured page; check the pricing page or calculator for current values.
  • Some use cases are subject to limited access and approval criteria covering responsible use and capacity.
  • Pricing estimates on the page are not binding quotes and may vary by Microsoft agreement and exchange rates.

Listed under

Get started

Sign up for an Azure account, then deploy a model in Microsoft Foundry.

  1. Create or sign in to an Azure account at the Azure sign-in page.
  2. Open Microsoft Foundry and deploy a chosen OpenAI model to a region or deployment type (Standard, Provisioned, or Batch).
  3. Call the deployed model from your application using the endpoint and credentials provided in the deployment.
Create an Azure account and deploy a model

Plans and prices

Prices in USD

Standard is pay-as-you-go per input and output token; Provisioned uses PTUs with optional monthly or annual reservations; Batch offers a 50% discount on Global Standard pricing for completions within 24 hours. Exact rates for most models were not captured, so check the pricing page or calculator.

Standard (pay-as-you-go)Usage-basedRates vary by model; see the pricing page or calculator for current rates.
  • Pay per input and output token
  • Global, Data Zone, and Regional deployment options
Provisioned (PTU)Usage-basedPricing is per PTU; check the pricing calculator for current values.
  • Reserved throughput with predictable cost
  • Monthly and annual reservations available

Source: azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service, checked 28 Oct 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 28 Oct 2026. Each source supports part of the overview; availability and prices can change.

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Where this comes from

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Last checked 28 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.