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Copy file name to clipboardExpand all lines: articles/ai-foundry/model-inference/concepts/models.md
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See [this model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=deepseek).
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### Microsoft
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Microsoft models include various model groups such as MAI models, Phi models, healthcare AI models, and more. Some Microsoft models are offered as [Azure Ecosystem Models](#azure-ecosystem-models). To see all the available Microsoft models, view [the Microsoft model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=phi).
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| Model | Type | Tier | Capabilities |
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| ------ | ---- | --- | ------------ |
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|[MAI-DS-R1](https://ai.azure.com/explore/models/MAI-DS-R1/version/1/registry/azureml)| chat-completion <br /> [(with reasoning content)](../how-to/use-chat-reasoning.md)| Global standard | - **Input:** text (163,840 tokens) <br /> - **Output:** (163,840 tokens) <br /> - **Languages:**`en` and `zh` <br /> - **Tool calling:** No <br /> - **Response formats:** Text. |
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### Mistral AI
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Mistral AI offers two categories of models: premium models including Mistral Large and Mistral Small and open models including Mistral Nemo.
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Mistral AI offers two categories of models: premium models including Mistral Large and Mistral Small and open models including Mistral Nemo. Some Mistral models are offered as [Azure Ecosystem Models](#azure-ecosystem-models).
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| Model | Type | Tier | Capabilities |
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| ------ | ---- | --- | ------------ |
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|[Mistral-small-2503](https://ai.azure.com/explore/models/Mistral-small-2503/version/1/registry/azureml-mistral)| chat-completion | Global standard | - **Input:** text (32,768 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Languages:** fr, de, es, it, and en <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
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|[Mistral-Large-2411](https://ai.azure.com/explore/models/Mistral-Large-2411/version/2/registry/azureml-mistral)| chat-completion | Global standard | - **Input:** text (128,000 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Languages:**`en`, `fr`, `de`, `es`, `it`, `zh`, `ja`, `ko`, `pt`, `nl`, and `pl` <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
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|[Codestral-2501](https://ai.azure.com/explore/models/Codestral-2501/version/2/registry/azureml-mistral)| chat-completion | Global standard | - **Input:** text (262,144 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Languages:** en <br /> - **Tool calling:** No <br /> - **Response formats:** Text |
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|[Ministral-3B](https://ai.azure.com/explore/models/Ministral-3B/version/1/registry/azureml-mistral)| chat-completion | Global standard | - **Input:** text (131,072 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Languages:** fr, de, es, it, and en <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
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|[Mistral-Nemo](https://ai.azure.com/explore/models/Mistral-Nemo/version/1/registry/azureml-mistral)| chat-completion | Global standard | - **Input:** text (131,072 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Languages:**`en`, `fr`, `de`, `es`, `it`, `zh`, `ja`, `ko`, `pt`, `nl`, and `pl` <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
|[Mistral-small](https://ai.azure.com/explore/models/Mistral-small/version/1/registry/azureml-mistral) <br> (deprecated) | chat-completion | Global standard | - **Input:** text (32,768 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Languages:** fr, de, es, it, and en <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
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|[Mistral-large](https://ai.azure.com/explore/models/Mistral-large/version/1/registry/azureml-mistral) <br> (deprecated) | chat-completion | Global standard | - **Input:** text (32,768 tokens) <br /> - **Output:** (4,096 tokens) <br /> - **Languages:** fr, de, es, it, and en <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
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See [this model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=mistral).
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### NTT Data
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**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.
Copy file name to clipboardExpand all lines: articles/ai-foundry/model-inference/faq.yml
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- name: General
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questions:
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What's the difference between Azure OpenAI in Foundry Models and Foundry Models?
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What's the difference between Azure OpenAI and Foundry Models?
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answer: |
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Azure OpenAI gives customers access to advanced language models from OpenAI. Foundry Models extends such capability giving customers access to all the flagship models in Azure AI under the same service, endpoint, and credentials. It includes Azure OpenAI, Cohere, Mistral AI, Meta Llama, AI21 labs, etc. Customers can seamlessly switch between models without changing their code.
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Azure OpenAI gives customers access to advanced language models from OpenAI. Foundry Models extends such capability giving customers access to all the flagship models in Azure AI Foundry under the same service, endpoint, and credentials. It includes Azure OpenAI, Cohere, Mistral AI, Meta Llama, AI21 labs, etc. Customers can seamlessly switch between models without changing their code.
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Both Azure OpenAI and Foundry Models are part of the Azure AI Foundry services (formerly known Azure AI Services) family and build on top of the same security and enterprise promise of Azure.
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While Foundry Models focus on inference, Azure OpenAI can be used with more advanced APIs like batch, fine-tuning, assistants, and files.
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Azure OpenAI is an Azure Direct model family in Foundry Models.
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What's the difference between Azure AI services and Azure AI Foundry?
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