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Copy file name to clipboardExpand all lines: articles/ai-services/openai/concepts/models.md
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| Models | Description |
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|--|--|
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|[o1 & o1-mini](#o1-and-o1-mini-models)|[Reasoning models](../how-to/reasoning.md) with advanced problem-solving and increased focus and capability. |
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|[o-series models](#o-series-models)|[Reasoning models](../how-to/reasoning.md) with advanced problem-solving and increased focus and capability. |
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|[GPT-4o & GPT-4o mini & GPT-4 Turbo](#gpt-4o-and-gpt-4-turbo)| The latest most capable Azure OpenAI models with multimodal versions, which can accept both text and images as input. |
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|[GPT-4o audio](#gpt-4o-audio)| GPT-4o audio models that support either low-latency, "speech in, speech out" conversational interactions or audio generation. |
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|[GPT-4](#gpt-4)| A set of models that improve on GPT-3.5 and can understand and generate natural language and code. |
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|[Whisper](#whisper-models)| A series of models in preview that can transcribe and translate speech to text. |
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|[Text to speech](#text-to-speech-models-preview) (Preview) | A series of models in preview that can synthesize text to speech. |
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## o1 and o1-mini models
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## o-series models
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The Azure OpenAI `o1` and `o1-mini` models are specifically designed to tackle reasoning and problem-solving tasks with increased focus and capability. These models spend more time processing and understanding the user's request, making them exceptionally strong in areas like science, coding, and math compared to previous iterations.
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The Azure OpenAI o<sup>*</sup> series models are specifically designed to tackle reasoning and problem-solving tasks with increased focus and capability. These models spend more time processing and understanding the user's request, making them exceptionally strong in areas like science, coding, and math compared to previous iterations.
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| Model ID | Description | Max Request (tokens) | Training Data (up to) |
|`o1` (2024-12-17) | The most capable model in the o1 series, offering [enhanced reasoning abilities](../how-to/reasoning.md). <br> - Structured outputs<br> - Text, image processing <br> - Functions/Tools <br> <br> **Request access: [limited access model application](https://aka.ms/OAI/o1access)**| Input: 200,000 <br> Output: 100,000 | Oct 2023 |
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|`o1-preview` (2024-09-12) | Older preview version | Input: 128,000 <br> Output: 32,768 | Oct 2023 |
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|`o1-mini` (2024-09-12) | A faster and more cost-efficient option in the o1 series, ideal for coding tasks requiring speed and lower resource consumption.| Input: 128,000 <br> Output: 65,536 | Oct 2023 |
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### Availability
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The `o1` and `o1-mini`models are now available for API access and model deployment. **For access to `o1` registration is required, and access will be granted based on Microsoft's eligibility criteria**. Customers who previously applied and received access to `o1-preview`, don't need to reapply as they are automatically on the wait-list for the latest model.
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**For access to `o3-mini` and `o1` registration is required, and access will be granted based on Microsoft's eligibility criteria**. Customers who previously applied and received access to `o1-preview`, or `o1`don't need to reapply as they are automatically on the wait-list for the latest models in the o-series.
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Request access: [limited access model application](https://aka.ms/OAI/o1access)
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Once access has been granted, you will need to create a deployment for each model. If you have an existing `o1-preview` deployment in place upgrade is currently not supported, you will need to create a new deployment.
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Once access has been granted, you will need to create a deployment for each model.
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To learn more about the advanced `o1` series models see, [getting started with o1 series reasoning models](../how-to/reasoning.md).
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To learn more about the advanced `o-series`models see, [getting started with reasoning models](../how-to/reasoning.md).
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### Region availability
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| Model | Region |
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|---|---|
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|`o3-mini`| East US2 (Global Standard) <br> Sweden Central (Global Standard) |
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|`o1`| East US2 (Global Standard) <br> Sweden Central (Global Standard) |
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|`o1-preview`| See the [models table](#global-standard-model-availability). |
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|`o1-mini`| See the [models table](#global-provisioned-managed-model-availability). |
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ms.service: azure-ai-openai
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ms.custom: devx-track-python
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ms.topic: how-to
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ms.date: 01/17/2025
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ms.date: 01/30/2025
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manager: nitinme
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---
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### Basic function calling with tools
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* All the models that support parallel function calling
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*`o3-mini` (`2025-01-31`)
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*`o1` (`2024-12-17`)
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*`gpt-4` (`0613`)
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*`gpt-4-32k` (`0613`)
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*`gpt-35-turbo-16k` (`0613`)
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*`gpt-35-turbo` (`0613`)
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> [!IMPORTANT]
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> There is a known issue with the `o1` model and the `tool_choice` parameter. Currently function calls that include the optional `tool_choice` parameter will fail. This page will be updated once the issue is resolved. For more information on what parameters are supported with the o1-series models see, the [reasoning models guide](./reasoning.md).
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> [!NOTE]
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> The `tool_choice` parameter is now supported with `o3-mini` and `o1`. For more information on what parameters are supported with the o-series models see, the [reasoning models guide](./reasoning.md).
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ms.service: azure-ai-openai
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ms.topic: include
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ms.date: 01/16/2025
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ms.date: 01/30/2025
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author: mrbullwinkle
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ms.author: mbullwin
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---
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# Azure OpenAI reasoning models
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Azure OpenAI `o1` and `o1-mini` models are designed to tackle reasoning and problem-solving tasks with increased focus and capability. These models spend more time processing and understanding the user's request, making them exceptionally strong in areas like science, coding, and math compared to previous iterations.
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Azure OpenAI `o-series` models are designed to tackle reasoning and problem-solving tasks with increased focus and capability. These models spend more time processing and understanding the user's request, making them exceptionally strong in areas like science, coding, and math compared to previous iterations.
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**Key capabilities of the o1 series:**
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**Key capabilities of the o-series models:**
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- Complex Code Generation: Capable of generating algorithms and handling advanced coding tasks to support developers.
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- Advanced Problem Solving: Ideal for comprehensive brainstorming sessions and addressing multifaceted challenges.
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## Availability
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The**o1 series** models are now available for API access and model deployment. **For access to o1, and o1-preview registration is required, and access will be granted based on Microsoft's eligibility criteria**. Customers who previously applied and received access to `o1-preview`, don't need to reapply as they are automatically on the wait-list for the latest model.
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**For access to `o3-mini`, `o1`, and `o1-preview`, registration is required, and access will be granted based on Microsoft's eligibility criteria**.
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Request access: [limited access model application](https://aka.ms/OAI/o1access)
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Customers who previously applied and received access to `o1` or `o1-preview`, don't need to reapply as they are automatically on the wait-list for the latest model.
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Once access has been granted, you'll need to create a deployment for each model. If you have an existing `o1-preview` deployment, in-place upgrade is currently not supported, you'll need to create a new deployment.
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Request access: [limited access model application](https://aka.ms/OAI/o1access)
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### Region availability
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| Model | Region | Limited access |
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|---|---|---|
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|`o3-mini`| East US2 (Global Standard) <br> Sweden Central (Global Standard) |[Limited access model application](https://aka.ms/OAI/o1access)|
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|`o1`| East US2 (Global Standard) <br> Sweden Central (Global Standard) |[Limited access model application](https://aka.ms/OAI/o1access)|
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|`o1-preview`| See [models page](../concepts/models.md#global-standard-model-availability). |[Limited access model application](https://aka.ms/OAI/o1access)|
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|`o1-mini`| See [models page](../concepts/models.md#global-standard-model-availability). | No access request needed |
**o1 series** models will only work with the `max_completion_tokens` parameter.
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> [!IMPORTANT]
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> There is a known issue with the `o1` model and the `tool_choice` parameter. Currently function calls that include the optional `tool_choice` parameter will fail. This page will be updated once the issue is resolved.
<sup>*</sup> Reasoning models will only work with the `max_completion_tokens` parameter. <br><br>
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<sup>**</sup>The latest o<sup>*</sup> series model support system messages to make migration easier. When you use a system message with `o3-mini` and `o1` it will be treated as a developer message. You should not use both a developer message and a system message in the same API request.
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### Not Supported
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The following are currently unsupported with o1-series models:
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The following are currently unsupported with reasoning models:
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ms.custom: build-2023, build-2023-dataai
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recommendations: false
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---
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# What is Azure OpenAI Service?
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Azure OpenAI Service provides REST API access to OpenAI's powerful language models including o1, o1-mini, GPT-4o, GPT-4o mini, GPT-4 Turbo with Vision, GPT-4, GPT-3.5-Turbo, and Embeddings model series. These models can be easily adapted to your specific task including but not limited to content generation, summarization, image understanding, semantic search, and natural language to code translation. Users can access the service through REST APIs, Python SDK, or in the [Azure AI Foundry](https://ai.azure.com).
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Azure OpenAI Service provides REST API access to OpenAI's powerful language models including o3-mini, o1, o1-mini, GPT-4o, GPT-4o mini, GPT-4 Turbo with Vision, GPT-4, GPT-3.5-Turbo, and Embeddings model series. These models can be easily adapted to your specific task including but not limited to content generation, summarization, image understanding, semantic search, and natural language to code translation. Users can access the service through REST APIs, Python SDK, or in the [Azure AI Foundry](https://ai.azure.com).
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### Features overview
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| Feature | Azure OpenAI |
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| --- | --- |
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| Models available |[**o1**](./how-to/reasoning.md) - (Limited Access - [Request Access](https://aka.ms/OAI/o1access))<br>[**o1-mini**](./how-to/reasoning.md)<br>**GPT-4o & GPT-4o mini**<br> **GPT-4 series (including GPT-4 Turbo with Vision)** <br>**GPT-3.5-Turbo series**<br> Embeddings series <br> Learn more in our [Models](./concepts/models.md) page.|
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| Models available |[**o3-mini & o1**](./how-to/reasoning.md) - (Limited Access - [**Request Access**](https://aka.ms/OAI/o1access))<br>[**o1-mini**](./how-to/reasoning.md)<br>**GPT-4o & GPT-4o mini**<br> **GPT-4 series (including GPT-4 Turbo with Vision)** <br>**GPT-3.5-Turbo series**<br> Embeddings series <br> Learn more in our [Models](./concepts/models.md) page.|
| Price |[Available here](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) <br> For details on vision-enabled chat models, see the [special pricing information](../openai/concepts/gpt-with-vision.md#special-pricing-information).|
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| Virtual network support & private link support | Yes. |
> The ratio of RPM/TPM for quota with o1-series models works differently than older chat completions models:
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>
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> -**Older chat models:** 1 unit of capacity = 6 RPM and 1,000 TPM.
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> -**o1 & o1-preview:** 1 unit of capacity = 1 RPM and 6,000 TPM.
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> -**o3-mini:** 1 unit of capacity = 1 RPM per 10,000 TPM.
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> -**o1-mini:** 1 unit of capacity = 1 RPM per 10,000 TPM.
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> This is particularly important for programmatic model deployment as this change in RPM/TPM ratio can result in accidental under allocation of quota if one is still assuming the 1:1000 ratio followed by older chat completion models.
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>
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> There is a known issue with the [quota/usages API](/rest/api/aiservices/accountmanagement/usages/list?view=rest-aiservices-accountmanagement-2024-06-01-preview&tabs=HTTP&preserve-view=true) where it assumes the old ratio applies to the new o1-series models. The API returns the correct base capacity number, but doesn't apply the correct ratio for the accurate calculation of TPM.
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### o1 & o1-mini global standard
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### `o-series` global standard
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| Model|Tier| Quota Limit in tokens per minute (TPM) | Requests per minute |
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|---|---|:---:|:---:|
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|`o3-mini`| Enterprise agreement | 50 M | 5 K |
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|`o1` & `o1-preview`| Enterprise agreement | 30 M | 5 K |
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ms.date: 1/30/2025
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recommendations: false
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## January 2025
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### o3-mini released
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`o3-mini` (2025-01-31) is the latest reasoning model, offering enhanced reasoning abilities. For more information, see our [reasoning model guide](./how-to/reasoning.md).
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### GPT-4o audio completions
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The `gpt-4o-audio-preview` model is now available for global deployments in [East US 2 and Sweden Central regions](./concepts/models.md#global-standard-model-availability). Use the `gpt-4o-audio-preview` model for audio generation.
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