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Copy file name to clipboardExpand all lines: articles/ai-foundry/concepts/models-featured.md
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@@ -250,7 +250,7 @@ See [the Microsoft model collection in Azure AI Foundry portal](https://ai.azure
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Mistral AI offers two categories of models, namely:
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-_Premium models_: These include Mistral Large, Mistral Small, Mistral-OCR-2503, and Ministral 3B models, and are available as serverless APIs with pay-as-you-go token-based billing.
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-_Premium models_: These include Mistral Large, Mistral Small, Mistral-OCR-2503, Mistral Medium 3 (25.05), and Ministral 3B models, and are available as serverless APIs with pay-as-you-go token-based billing.
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-_Open models_: These include Mistral-small-2503, Codestral, and Mistral Nemo (that are available as serverless APIs with pay-as-you-go token-based billing), and [Mixtral-8x7B-Instruct-v01, Mixtral-8x7B-v01, Mistral-7B-Instruct-v01, and Mistral-7B-v01](../how-to/deploy-models-mistral-open.md)(that are available to download and run on self-hosted managed endpoints).
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@@ -262,6 +262,7 @@ Mistral AI offers two categories of models, namely:
|[Mistral-medium-2505](https://aka.ms/aistudio/landing/mistral-medium-2505)|[chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context)| - **Input:** text (128,000 tokens), image <br /> - **Output:** text (128,000 tokens) <br /> - **Tool calling:** No <br /> - **Response formats:** Text, JSON |
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|[Mistral-OCR-2503](https://aka.ms/aistudio/landing/mistral-ocr-2503)|[image to text](../how-to/use-image-models.md)| - **Input:** image or PDF pages (1,000 pages, max 50MB PDF file) <br> - **Output:** text <br /> - **Tool calling:** No <br /> - **Response formats:** Text, JSON, Markdown |
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|[Mistral-small-2503](https://aka.ms/aistudio/landing/mistral-small-2503)|[chat-completion (with images)](../model-inference/how-to/use-chat-multi-modal.md?context=/azure/ai-foundry/context/context)| - **Input:** text and images (131,072 tokens), <br> image-based tokens are 16px x 16px <br> blocks of the original images <br /> - **Output:** text (4,096 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
Mistral OCR 25.03 | [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) <br> Brazil <br> Hong Kong SAR <br> Israel | East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3 | Not available |
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Mistral Nemo | [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) <br> Brazil <br> Hong Kong SAR <br> Israel | East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3 | East US 2 <br> East US <br> North Central US <br> South Central US <br> West US <br> West US 3 |
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Mistral Small 25.03 <br> Mistral Small | [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) <br> Brazil <br> Hong Kong SAR <br> Israel | East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3 | Not available |
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Mistral Medium 3 (25.05) | [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) <br> Brazil <br> Hong Kong SAR <br> Israel | East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3 | Not available |
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Ministral-3B | [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) <br> Brazil <br> Hong Kong SAR<br> Israel | East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3 | East US 2 <br> East US <br> North Central US <br> South Central US <br> West US <br> West US 3 |
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Mistral Large (2407) <br> Mistral-Large | [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) <br> Brazil <br> Hong Kong SAR<br> Israel | East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3 | Not available |
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Mistral-Large (2411) | [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) <br> Brazil <br> Hong Kong SAR<br> Israel | East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3 | East US 2 <br> East US <br> North Central US <br> South Central US <br> West US <br> West US 3 |
Copy file name to clipboardExpand all lines: articles/machine-learning/concept-models-featured.md
+2-1Lines changed: 2 additions & 1 deletion
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Display the rich diff
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@@ -254,7 +254,7 @@ See [the Microsoft model collection in the Azure AI model catalog](https://ai.az
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Mistral AI offers two categories of models, namely:
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-
-_Premium models_: These include Mistral Large, Mistral Small, Mistral-OCR-2503, and Ministral 3B models, and are available as serverless APIs with pay-as-you-go token-based billing.
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-_Premium models_: These include Mistral Large, Mistral Small, Mistral-OCR-2503, Mistral Medium 3 (25.05), and Ministral 3B models, and are available as serverless APIs with pay-as-you-go token-based billing.
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-_Open models_: These include Mistral-small-2503, Codestral, and Mistral Nemo (that are available as serverless APIs with pay-as-you-go token-based billing), and [Mixtral-8x7B-Instruct-v01, Mixtral-8x7B-v01, Mistral-7B-Instruct-v01, and Mistral-7B-v01](../ai-foundry/how-to/deploy-models-mistral-open.md?context=/azure/machine-learning/context/context)(that are available to download and run on self-hosted managed endpoints).
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@@ -266,6 +266,7 @@ Mistral AI offers two categories of models, namely:
|[Mistral-medium-2505](https://aka.ms/aistudio/landing/mistral-medium-2505)|[chat-completion](../ai-foundry/model-inference/how-to/use-chat-completions.md?context=/azure/machine-learning/context/context)| - **Input:** text (128,000 tokens), image <br /> - **Output:** text (128,000 tokens) <br /> - **Tool calling:** No <br /> - **Response formats:** Text, JSON |
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|[Mistral-OCR-2503](https://aka.ms/aistudio/landing/mistral-ocr-2503)|[image to text](../ai-foundry/how-to/use-image-models.md?context=/azure/machine-learning/context/context)| - **Input:** image or PDF pages (1,000 pages, max 50MB PDF file) <br> - **Output:** text <br /> - **Tool calling:** No <br /> - **Response formats:** Text, JSON, Markdown |
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|[Mistral-small-2503](https://aka.ms/aistudio/landing/mistral-small-2503)|[chat-completion (with images)](../ai-foundry/model-inference/how-to/use-chat-multi-modal.md?context=/azure/machine-learning/context/context)| - **Input:** text and images (131,072 tokens), <br> image-based tokens are 16px x 16px <br> blocks of the original images <br /> - **Output:** text (4,096 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
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