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Microsoft MAI is a family of AI models, Microsoft Foundry is a platform for selecting and deploying models, and Copilot Studio is a low-code environment for building and publishing agents. They are different layers of Microsoft’s AI stack, not three interchangeable products. A team may use Foundry to deploy a model and Copilot Studio to build an agent that uses it.
What is the difference between MAI, Foundry and Copilot Studio?
| Product | What it is | Main decision | Typical user |
|---|---|---|---|
| Microsoft AI (MAI) | Microsoft’s model family, spanning text and reasoning, image, voice and speech capabilities. Specific capabilities, versions and availability vary by model. | Does a particular model and version fit the task? | A developer or team choosing a model for an application. |
| Microsoft Foundry | A cloud platform for finding, deploying and calling models. Microsoft Learn currently uses the name Microsoft Foundry; “Azure AI Foundry” is the earlier naming used in Microsoft’s integration announcement. | How will the team select, deploy, govern and call models? | A developer or platform team. |
| Copilot Studio | A low-code/no-code product for creating and managing agents, workflows and apps, connecting them to data and systems, and publishing agents. | How will the team build, connect, orchestrate and publish an agent? | A business maker, IT team or developer using its low-code capabilities. |
The Foundry name is used on current Microsoft Learn model deployment pages, while Microsoft’s May 2025 announcement called the integration “Azure AI Foundry models.” The sources available here do not establish a formal rename date. See Microsoft’s MAI-Thinking deployment guide, MAI image deployment guide and Microsoft’s Build 2025 announcement.
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Which one should you choose?
Choose MAI when the decision is about the model
MAI is the model family, not the place where you build and publish an agent. Evaluate the specific model and version against the task—such as text reasoning, image generation or editing, speech recognition, or text-to-speech—and check its lifecycle and availability before committing to it. Microsoft’s MAI models have version-specific deployment requirements; for example, the MAI-Thinking deployment guide describes its own Azure subscription and project requirements.
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1Clear out junk files and repair common Windows errors2Fix the driver behind crashes, sound loss and screen glitches3Repair Windows errors before they cause bigger problemsChoose Foundry when the work centers on model deployment
Foundry is the natural focus when developers need to find models, deploy them to a project, and call them through an endpoint or API. It is a platform decision, not a choice between one model and another. Its model rates and deployment terms depend on the particular model, region and deployment; the material compared here does not establish a comprehensive price list.
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Choose Copilot Studio when the deliverable is an agent or workflow
Copilot Studio is designed for authoring, connecting, managing and publishing agents. Its product role makes it a better starting point than Foundry when the central task is to assemble a business-facing or internal agent with relevant data, systems and channels, rather than to manage model deployments directly. See the Copilot Studio product page.
Can you use Foundry and Copilot Studio together?
Yes, Microsoft has documented Foundry models being used in Copilot Studio prompts and generative answers. The cited announcement was published in May 2025 and described the integration as a public preview at that time; that historical label does not establish its current release status. Check the current Copilot Studio model documentation and availability in the target tenant before designing a production deployment. The announcement is Microsoft’s Build 2025 post.
In a combined design, Foundry handles model selection and deployment while Copilot Studio handles agent authoring and orchestration. Whether a particular MAI model can be selected for a Copilot Studio prompt or generative answer depends on current product support and tenant availability; do not assume every model or version is exposed there.
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- Skills and build approach: Foundry is oriented toward developers and platform teams working with projects, deployments and APIs. Copilot Studio provides low-code agent authoring. Choose based on who will build and operate the solution.
- Model and version: Confirm the exact model ID, version, lifecycle status and supported capability. A model-family name alone is not enough to establish that a specific version is available or suitable.
- Data, systems and publishing: Identify the sources and business systems the agent must use, and how it needs to be published. Copilot Studio’s product description includes connections and agent publishing; this is a different concern from selecting a model in Foundry.
- Region and tenant: Confirm the target Azure region, subscription and project requirements for Foundry, and verify that the needed features are available in the intended Microsoft tenant. Availability and terms can vary by region.
- Governance and operations: Decide which team owns access, deployment changes, agent behavior and ongoing maintenance. A combined architecture adds an integration boundary between the model platform and the agent product.
- Cost and entitlement: Compare the relevant model-specific Azure rates and deployment terms with Copilot Studio’s licensing and usage model. Do not compare a model’s usage charges with an agent product’s credits as if they were the same meter.
How do Copilot Studio licensing and usage work?
Microsoft distinguishes use rights through a Microsoft 365 Copilot entitlement from standalone Copilot Studio licensing. Microsoft says the Microsoft 365 Copilot entitlement supports licensed users building and using internal agents in Microsoft 365; standalone licensing provides broader publishing and pricing flexibility. Confirm the rights that apply to the specific users, agent audience and publishing destination rather than assuming one entitlement covers every scenario.
Microsoft’s Copilot Studio pricing page describes monthly credit packs, pre-purchase and pay-as-you-go options. The applicable cost depends on the selected arrangement and consumption. The available information does not establish a single comparable price for all regions, usage patterns or model deployments, so check the current page and tenant billing details before estimating a project.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What model-version and release-status checks matter?
Model availability and lifecycle labels change. As listed in Microsoft Learn materials reviewed on October 7, 2026, MAI-Thinking-1 is marked preview with model version 2026-06-01, while the MAI image deployment page lists MAI-Image-2.6 and MAI-Image-2.6-Flash in preview, dated 2026-07-31. These are dated model-page details, not a promise that the versions remain available or in preview. Check the current MAI-Thinking page and MAI image page for the model you plan to deploy.
Microsoft’s model lifecycle listings also identify retirement dates for older image variants. Avoid carrying forward an old recommendation without checking the current lifecycle entry for that exact model ID and version. A preview label, retirement schedule or regional deployment option can change the implementation plan even when the product family name stays the same.
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Quick Recap
A practical decision sequence
- Define the deliverable. If you need an AI capability inside software, identify the task and model first. If you need a business agent or workflow, start with the agent-building requirements.
- Select the relevant layer. Evaluate a MAI model for model fit, Foundry for deployment and API needs, and Copilot Studio for agent creation, connections and publishing.
- Confirm the integration. If combining Foundry with Copilot Studio, verify that the required model and feature are available in the target tenant and suitable for the intended production use.
- Validate operational fit. Check regional support, subscription and project prerequisites, identity and permissions, data connections, governance ownership and the publishing destination.
- Calculate cost using the right meter. Check the chosen model’s current Azure terms and the Copilot Studio licensing or credits that apply to the agent’s expected use.
- Recheck before launch. Confirm the exact model version and lifecycle status, preview or general-availability label, region, licensing entitlement and billing meter against current Microsoft documentation and tenant settings.
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
