Foundry Models and capabilities

Azure AI Foundry Models gives you access to flagship models in Azure AI Foundry to consume them as APIs with flexible deployment options. This article lists a selection of model offerings and their capabilities, excluding deprecated and legacy models.

Depending on what kind of project you're using in Azure AI Foundry, you might see a different selection of these models. Specifically, if you're using a Foundry project, built on an Azure AI Foundry resource, you see the models that are available for standard deployment to a Foundry resource. Alternatively, if you're using a hub-based project, hosted by an Azure AI Foundry hub, you see models that are available for deployment to managed compute and serverless APIs. These model selections do overlap in many cases, since many models support the multiple deployment options.

Foundry Models in the model catalog belong to two main categories:

• Models sold directly by Azure
• Models from partners and community

To learn more about these two categories, and Models from Partners and Community.

Models sold directly by Azure

Models sold directly by Azure include all Azure OpenAI models and specific, selected models from top providers. To learn more about these models, see Models Sold Directly by Azure.

Azure OpenAI

Azure OpenAI in Azure AI Foundry Models offers a diverse set of models with different capabilities and price points. Learn more details at Azure OpenAI Model availability. These models include:

• State-of-the-art models designed to tackle reasoning and problem-solving tasks with increased focus and capability
• Models that can understand and generate natural language and code
• Models that can transcribe and translate speech to text

See this model collection in Azure AI Foundry portal.

DeepSeek models sold directly by Azure

DeepSeek family of models includes DeepSeek-R1, which excels at reasoning tasks using a step-by-step training process, such as language, scientific reasoning, and coding tasks.

See this model collection in Azure AI Foundry portal.

Meta models sold directly by Azure

Meta Llama models and tools are a collection of pretrained and fine-tuned generative AI text and image reasoning models. Meta models range is 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-performant models like Meta Llama 3.1-405B Instruct for synthetic data generation and distillation use cases.

See this model collection in Azure AI Foundry portal. There are also several Meta models available from partners and community.

Microsoft models sold directly by Azure

Microsoft models include various model groups such as MAI models, Phi models, healthcare AI models, and more. To see all the available Microsoft models, view the Microsoft model collection in Azure AI Foundry portal.

See the Microsoft model collection in Azure AI Foundry portal. There are also several Microsoft models available from partners and community.

xAI models sold directly by Azure

xAI's Grok 3 and Grok 3 Mini models are designed to excel in various enterprise domains. Grok 3, a non-reasoning model pretrained by the Colossus datacenter, is tailored for business use cases such as data extraction, coding, and text summarization, with exceptional instruction-following capabilities. It supports a 131,072 token context window, allowing it to handle extensive inputs while maintaining coherence and depth, and is adept at drawing connections across domains and languages. On the other hand, Grok 3 Mini is a lightweight reasoning model trained to tackle agentic, coding, mathematical, and deep science problems with test-time compute. It also supports a 131,072 token context window for understanding codebases and enterprise documents, and excels at using tools to solve complex logical problems in novel environments, offering raw reasoning traces for user inspection with adjustable thinking budgets.

See the xAI model collection in Azure AI Foundry portal.

Models from partners and community

Models from partners and community constitute the majority of the Azure AI Foundry Models and are provided by trusted third-party organizations, partners, research labs, and community contributors. To learn more about these models, see Models from Partners and Community.

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.

Cohere rerank

For more details on pricing for Cohere rerank models, see Pricing for Cohere rerank models.

See the Cohere model collection in Azure AI Foundry portal.

Core42

Core42 includes autoregressive bi-lingual LLMs for Arabic & English with state-of-the-art capabilities in Arabic.

See this model collection in Azure AI 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 is 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-performant models like Meta Llama 3.1-405B Instruct for synthetic data generation and distillation use cases.

See this model collection in Azure AI Foundry portal. There are also several Meta models available as models sold directly by Azure.

Microsoft

Microsoft models include various model groups such as MAI models, Phi models, healthcare AI models, and more. To see all the available Microsoft models, view the Microsoft model collection in Azure AI Foundry portal.

See the Microsoft model collection in Azure AI Foundry portal. There are also several Microsoft models available as models sold directly by Azure.

Mistral AI

Mistral AI offers two categories of models: premium models such as Mistral Large 2411 and Ministral 3B, and open models such as Mistral Nemo.

See this model collection in Azure AI Foundry portal.

Nixtla

Nixtla's TimeGEN-1 is a generative pretrained forecasting and anomaly detection model for time series data. TimeGEN-1 can produce accurate forecasts for new time series without training, using only historical values and exogenous covariates as inputs.

To perform inferencing, TimeGEN-1 requires you to use Nixtla's custom inference API.

For more details on pricing for Nixtla models, see Nixtla.

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.

Stability AI

The Stability AI collection of image generation models include Stable Image Core, Stable Image Ultra, and Stable Diffusion 3.5 Large. Stable Diffusion 3.5 Large allows for an image and text input.

See this model collection in Azure AI Foundry portal.

Open and custom models

The model catalog offers a larger selection of models, from a bigger range of providers. For these models, you can't use the option for standard deployment in Azure AI Foundry resources, where models are provided as APIs; rather, to deploy these models, you might be required to host them on your infrastructure, create an AI hub, and provide the underlying compute quota to host the models.

Furthermore, these models can be open-access or IP protected. In both cases, you have to deploy them in managed compute offerings in Azure AI Foundry. To get started, see How-to: Deploy to Managed compute.

Related content

• Deployment overview for Azure AI Foundry Models
• Add and configure models to Azure AI Foundry Models
• How to generate chat completions with Azure AI Foundry Models
• Serverless API inference examples for Foundry Models