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‎.openpublishing.redirection.json

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"source_path": "articles/genomics/version-release-history-genomics.md",
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"source_path_from_root": "/articles/search/search-howto-index-csv-blobs.md",
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"redirect_url": "/azure/search/search-how-to-large-index",
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"source_path_from_root": "/articles/ai-services/openai/references/azure-machine-learning.md",
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"redirect_url": "/azure/ai-services/openai/concepts/use-your-data",
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‎.vscode/settings.json

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‎.whatsnew.json

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‎articles/ai-foundry/model-inference/concepts/models.md

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Azure AI model inference in Azure AI Foundry gives you access to flagship models in Azure AI to consume them as APIs without hosting them on your infrastructure.
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> [!TIP]
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> DeepSeek-R1 (preview) is available for deployment as [Serverless API endpoint](../../../ai-studio/how-to/deploy-models-deepseek.md).
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:::image type="content" source="../media/models/models-catalog.gif" alt-text="An animation showing Azure AI studio model catalog section and the models available." lightbox="../media/models/models-catalog.gif":::
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Model availability varies by model provider, deployment SKU, and cloud. All models available in Azure AI Model Inference support the [Global standard](deployment-types.md#global-standard) deployment type which uses global capacity to guarantee throughput. [Azure OpenAI models](#azure-openai) also support regional deployments and [sovereign clouds](/entra/identity-platform/authentication-national-cloud)—Azure Government, Azure Germany, and Azure China 21Vianet.
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- Models that can transcribe and translate speech to text
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| Model | Type | Tier | Capabilities |
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| ------ | ---- | --- | ------------ |
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| ------ | ---- | ---- | ------------ |
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| [o3-mini](https://ai.azure.com/explore/models/o3-mini/version/2025-01-31/registry/azure-openai) | chat-completion | Global standard | - **Input:** text and image (200,000 tokens) <br /> - **Output:** text (100,000 tokens) <br /> - **Languages:** `en`, `it`, `af`, `es`, `de`, `fr`, `id`, `ru`, `pl`, `uk`, `el`, `lv`, `zh`, `ar`, `tr`, `ja`, `sw`, `cy`, `ko`, `is`, `bn`, `ur`, `ne`, `th`, `pa`, `mr`, and `te`. <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON, structured outputs |
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| [o1](https://ai.azure.com/explore/models/o1/version/2024-12-17/registry/azure-openai) | chat-completion | Global standard | - **Input:** text and image (200,000 tokens) <br /> - **Output:** text (100,000 tokens) <br /> - **Languages:** `en`, `it`, `af`, `es`, `de`, `fr`, `id`, `ru`, `pl`, `uk`, `el`, `lv`, `zh`, `ar`, `tr`, `ja`, `sw`, `cy`, `ko`, `is`, `bn`, `ur`, `ne`, `th`, `pa`, `mr`, and `te`. <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON, structured outputs |
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| [o1-preview](https://ai.azure.com/explore/models/o1-preview/version/1/registry/azure-openai) | chat-completion | Global standard <br />Standard<br /> | - **Input:** text (128,000 tokens) <br /> - **Output:** (32,768 tokens) <br /> - **Languages:** `en`, `it`, `af`, `es`, `de`, `fr`, `id`, `ru`, `pl`, `uk`, `el`, `lv`, `zh`, `ar`, `tr`, `ja`, `sw`, `cy`, `ko`, `is`, `bn`, `ur`, `ne`, `th`, `pa`, `mr`, and `te`. <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON, structured outputs |
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| [o1-mini](https://ai.azure.com/explore/models/o1-mini/version/1/registry/azure-openai) | chat-completion | Global standard <br />Standard | - **Input:** text (128,000 tokens) <br /> - **Output:** (65,536 tokens) <br /> - **Languages:** `en`, `it`, `af`, `es`, `de`, `fr`, `id`, `ru`, `pl`, `uk`, `el`, `lv`, `zh`, `ar`, `tr`, `ja`, `sw`, `cy`, `ko`, `is`, `bn`, `ur`, `ne`, `th`, `pa`, `mr`, and `te`. <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON, structured outputs |
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| [o1-mini](https://ai.azure.com/explore/models/o1-mini/version/1/registry/azure-openai) | chat-completion | Global standard <br />Standard | - **Input:** text (128,000 tokens) <br /> - **Output:** (65,536 tokens) <br /> - **Languages:** `en`, `it`, `af`, `es`, `de`, `fr`, `id`, `ru`, `pl`, `uk`, `el`, `lv`, `zh`, `ar`, `tr`, `ja`, `sw`, `cy`, `ko`, `is`, `bn`, `ur`, `ne`, `th`, `pa`, `mr`, and `te`. <br /> - **Tool calling:** No <br /> - **Response formats:** Text |
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| [gpt-4o-realtime-preview](https://ai.azure.com/explore/models/gpt-4o-realtime-preview/version/2024-10-01/registry/azure-openai) | real-time | Global standard | - **Input:** control, text, and audio (131,072 tokens) <br /> - **Output:** text and audio (16,384 tokens) <br /> - **Languages:** en <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
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| [gpt-4o](https://ai.azure.com/explore/models/gpt-4o/version/2024-11-20/registry/azure-openai) | chat-completion | Global standard <br />Standard<br />Batch<br />Provisioned<br />Global provisioned<br />Data Zone | - **Input:** text and image (131,072 tokens) <br /> - **Output:** text (16,384 tokens) <br /> - **Languages:** `en`, `it`, `af`, `es`, `de`, `fr`, `id`, `ru`, `pl`, `uk`, `el`, `lv`, `zh`, `ar`, `tr`, `ja`, `sw`, `cy`, `ko`, `is`, `bn`, `ur`, `ne`, `th`, `pa`, `mr`, and `te`. <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON, structured outputs |
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| [gpt-4o-mini](https://ai.azure.com/explore/models/gpt-4o-mini/version/2024-07-18/registry/azure-openai) | chat-completion | Global standard <br />Standard<br />Batch<br />Provisioned<br />Global provisioned<br />Data Zone | - **Input:** text, image, and audio (131,072 tokens) <br /> - **Output:** (16,384 tokens) <br /> - **Languages:** `en`, `it`, `af`, `es`, `de`, `fr`, `id`, `ru`, `pl`, `uk`, `el`, `lv`, `zh`, `ar`, `tr`, `ja`, `sw`, `cy`, `ko`, `is`, `bn`, `ur`, `ne`, `th`, `pa`, `mr`, and `te`. <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON, structured outputs |
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See [this model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=core42).
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### DeepSeek
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DeepSeek family of models include DeepSeek-R1, which excels at reasoning tasks using a step-by-step training process, such as language, scientific reasoning, and coding tasks.
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| Model | Type | Tier | Capabilities |
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| [DeekSeek-R1](https://ai.azure.com/explore/models/deepseek-r1/version/1/registry/azureml-deepseek) | chat-completion <br /> [(with reasoning content)](../how-to/use-chat-reasoning.md) | Global standard | - **Input:** text (16,384 tokens) <br /> - **Output:** (163,840 tokens) <br /> - **Languages:** `en` and `zh` <br /> - **Tool calling:** No <br /> - **Response formats:** Text. |
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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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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:
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| Model | Type | Tier | Capabilities |
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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-large](https://ai.azure.com/explore/models/Mistral-large/version/1/registry/azureml-mistral) | 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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| [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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| [Mistral-small](https://ai.azure.com/explore/models/Mistral-small/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-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 |
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| [Mistral-large-2407](https://ai.azure.com/explore/models/Mistral-large-2407/version/1/registry/azureml-mistral) | chat-completion | Global standard | - **Input:** text (131,072 tokens) <br /> - **Output:** (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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| [Mistral-large-2407](https://ai.azure.com/explore/models/Mistral-large-2407/version/1/registry/azureml-mistral) <br /> (legacy) | chat-completion | Global standard | - **Input:** text (131,072 tokens) <br /> - **Output:** (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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| [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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