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Microsoft Foundry Models in the model catalog comprise two main categories, namely Foundry Models sold by Azure and Foundry Models from partners and community. This article lists a selection of Foundry Models from partners and community, along with their capabilities, deployment types, and regions of availability, excluding deprecated and retired models. Most Foundry Model providers are trusted third-party organizations, partners, research labs, and community contributors.
Models from partners and community that are not sold by Azure are Non-Microsoft Products under the Product Terms.
For a list of Foundry Models sold by Azure, see Foundry Models sold by Azure, and for a list of Foundry Models that are supported by the Foundry Agent Service, see Models supported by Agent Service. Foundry Models support several deployment types to a Foundry resource. Some models in the model catalog require a hub-based project hosted by a Foundry hub for deployment. Selecting those models in the catalog opens them up in the Foundry (classic) portal experience.

Prerequisites

  • An Azure subscription. If you don’t have one, create a free account.
The following Azure subscriptions can’t be used to purchase software as a service (SaaS) offers in Marketplace: Student, Visual Studio Enterprise, or Free credit. For more information on purchasing SaaS offers, see The SaaS purchase experience.

Permissions required to subscribe to Models from partners and community

Foundry Models from partners and community available for deployment (for example, Cohere models) require Azure Marketplace. Model providers define the license terms and set the price for use of their models using Azure Marketplace. When deploying third-party models, ensure you have the following permissions in your account:
  • On the Azure subscription:
  • Microsoft.MarketplaceOrdering/agreements/offers/plans/read
  • Microsoft.MarketplaceOrdering/agreements/offers/plans/sign/action
  • Microsoft.MarketplaceOrdering/offerTypes/publishers/offers/plans/agreements/read
  • Microsoft.Marketplace/offerTypes/publishers/offers/plans/agreements/read
  • Microsoft.SaaS/register/action
  • On the resource group—to create and use the SaaS resource:
  • Microsoft.SaaS/resources/read
  • Microsoft.SaaS/resources/write The Owner and Contributor built-in roles on the Azure subscription include these permissions. If you don’t have the required permissions, ask your subscription administrator to assign you the Contributor role, or create a custom role that includes the listed actions.
To verify your permissions, go to the Azure portal, open your subscription, select Access control (IAM) > Check access, and review your assigned roles.
Microsoft.SaaS/register/action is a one-time registration of the SaaS resource provider on the subscription. After registration, it doesn’t need to be repeated for each deployment.

Country/region availability

You can access Models from partners and community with pay-as-you-go billing only if your Azure subscription belongs to a billing account in a country or region where the model provider made the offer available (see the “Offer availability region” column of the tables in each model provider’s section). Availability varies per model provider and model SKU. If the offer is available in the relevant country or region, you must have a project or hub in the Azure region where the model is available for deployment or fine-tuning, as applicable. You can access Models from partners and community with pay-as-you-go billing only if your Azure subscription belongs to a billing account in a country or region where the model provider made the offer available (see the “Offer availability region” column of the tables in each model provider’s section). Availability varies per model provider and model SKU. If the offer is available in the relevant country or region, you must have a project or hub in the Azure region where the model is available for deployment or fine-tuning, as applicable.

Anthropic

Anthropic’s flagship product is Claude, a frontier AI model trusted by leading enterprises and millions of users worldwide for complex tasks including coding, agents, financial analysis, research, and office tasks. Claude delivers exceptional performance while maintaining high safety standards.
Microsoft Foundry offers Claude models in two versions: Hosted on Azure and Hosted on Anthropic infrastructure deployments. Both versions aren’t available for every model. The lifecycle stage, such as Preview or Generally available, can differ between the two versions. For an overview of Claude models in Foundry, including per-model availability and lifecycle status, see Claude models in Microsoft Foundry. To learn how to use Claude models in Foundry, see Deploy and use Claude models in Microsoft Foundry. Microsoft Foundry offers Claude models in two versions: Hosted on Azure and Hosted on Anthropic infrastructure deployments. Both versions aren’t available for every model. The lifecycle stage, such as Preview or Generally available, can differ between the two versions. For an overview of Claude models in Foundry, including per-model availability and lifecycle status, see Claude models in Microsoft Foundry. To learn how to use Claude models in Foundry, see Deploy and use Claude models in Microsoft Foundry.

Subscription type and region support

To use Claude models in Microsoft Foundry, you must have a paid Azure subscription with a billing account in a country or region where Anthropic offers the models for purchase. For a list of common subscription-related errors, see Common error messages and solutions. The following subscription types are currently not supported:
  • Enterprise Accounts located in South Korea
  • Cloud Solution Provider subscriptions
  • Azure subscriptions that don’t have an active pay-as-you-go billing method (for example, student, free trial, or startup credit–based accounts)
  • Sponsored subscriptions that only use Azure credits. Note: If you have an account with a credit card on file, the credit card will be charged instead of Azure Credits.
For a list of supported regions, see supported geographic locations. Note that, Anthropic’s “Supported Regions Policy” may apply for the availability in your region, check supported regions for details. 1 Claude Mythos 5 and Claude Mythos Preview are only available as gated research preview. Access to the models is granted solely at Anthropic’s discretion and prioritized for defensive cybersecurity use cases. See the Claude Mythos Preview system card and Claude Mythos 5 system card for responsible use guidance.

Cohere

The Cohere family of models includes various models optimized for different use cases, including chat completions and embeddings. Cohere models are optimized for various use cases that include reasoning, summarization, and question answering. To deploy Cohere models in Foundry, see Deploy Microsoft Foundry Models in the Foundry portal.

Meta

Meta Llama models and tools are a collection of pretrained and fine-tuned generative AI text and image reasoning models. Meta models range in scale to include:
  • Small language models (SLMs) like 1B and 3B Base and Instruct models for on-device and edge inferencing
  • Mid-size large language models (LLMs) like 7B, 8B, and 70B Base and Instruct models
  • High-performance models like Meta Llama 3.1-405B Instruct for synthetic data generation and distillation use cases.
To deploy Meta Llama models in Foundry, see Deploy Microsoft Foundry Models in the Foundry portal.

Microsoft

Microsoft models include various model groups such as MAI models, Phi models, healthcare AI models, and more. To deploy Microsoft models in Foundry, see Deploy Microsoft Foundry Models in the Foundry portal.

Mistral AI

Mistral AI offers models for code generation, general-purpose chat, and multimodal tasks, including Codestral, Ministral, Mistral Small, and Mistral Medium. To deploy Mistral AI models in Foundry, see Deploy Microsoft Foundry Models in the Foundry portal. 1 These models require a hub-based project for deployment. Selecting them in the model catalog opens them up in the Foundry (classic) portal experience.

NTT Data

tsuzumi is an autoregressive language-optimized transformer. The tuned versions use supervised fine-tuning (SFT). tsuzumi handles both Japanese and English language with high efficiency. To deploy tsuzumi-7b in Foundry, see Deploy Microsoft Foundry Models in the Foundry portal. 1 This model requires a hub-based project for deployment. Selecting the model in the model catalog opens it in the Foundry (classic) portal experience. See NTT Data models in the Foundry portal.

Region availability by deployment type

Microsoft Foundry provides customers with choices on the hosting structure that fits their business and usage patterns. This section lists the regional availability for Foundry Models from partners and community, across all regions, for the Global Standard and Data Zone standard deployment types. To deploy your model in any of the Azure regions listed in the following tables, you must have a project or hub in that region. For billing-account country/region eligibility, see Country/region availability. To learn about all available model deployment types, see Deployment types for Microsoft Foundry Models.

Global standard

For global deployments, Microsoft processes prompts and responses in any Azure region where you deploy the model.

Data Zone Standard

For Data Zone deployments, Microsoft processes prompts and responses anywhere within the specified data zone: United States (data processed anywhere within the US), European Union (data processed within any EU member nation), or Asia Pacific (data processed within any Asia Pacific nation).

Alternatives to region availability

If most of your infrastructure is in a particular region and you want to take advantage of models available only as serverless APIs, you can create a hub or project in a supported region and then consume the endpoint from another region. To learn how to configure an existing serverless API deployment in a different hub or project than the one where it was deployed, see Consume serverless APIs from a different hub or project.

Troubleshooting

Use the following troubleshooting guide to find and solve errors when deploying third-party models in Foundry Models: