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Azure OpenAI Service models

  • Članek

Azure OpenAI Service is powered by a diverse set of models with different capabilities and price points. Model availability varies by region and cloud. For Azure Government model availability, please refer to Azure Government OpenAI Service.

Models Description
GPT-4.5 Preview The latest GPT model that excels at diverse text and image tasks.
o-series models Reasoning models with advanced problem-solving and increased focus and capability.
GPT-4o & GPT-4o mini & GPT-4 Turbo The latest most capable Azure OpenAI models with multimodal versions, which can accept both text and images as input.
GPT-4o audio GPT-4o audio models that support either low-latency, "speech in, speech out" conversational interactions or audio generation.
GPT-4 A set of models that improve on GPT-3.5 and can understand and generate natural language and code.
GPT-3.5 A set of models that improve on GPT-3 and can understand and generate natural language and code.
Embeddings A set of models that can convert text into numerical vector form to facilitate text similarity.
DALL-E A series of models that can generate original images from natural language.
Whisper A series of models in preview that can transcribe and translate speech to text.
Text to speech (Preview) A series of models in preview that can synthesize text to speech.

GPT-4.5 Preview

Availability

For access to gpt-4.5-preview registration is required, and access will be granted based on Microsoft's eligibility criteria. Customers who have access to other limited access models will still need to request access for this model.

Request access: GPT-4.5-preview limited access model application

Once access has been granted, you will need to create a deployment for the model

Region Availability

Model Region
gpt-4.5-preview East US 2 (Global Standard)
Sweden Central (Global Standard)

Capabilities

Model ID Description Context Window Max Output Tokens Training Data (up to)
gpt-4.5-preview (2025-02-27)
GPT-4.5 Preview		 The latest GPT model that excels at diverse text and image tasks.
-Structured outputs
-Prompt caching
-Tools
-Streaming
-Text(input/output)
- Image(input)		 128,000 16,384 Oct 2023

Opomba

It is expected behavior that the model cannot answer questions about itself. If you want to know when the knowledge cutoff for the model's training data is, or other details about the model you should refer to the model documentation above.

o-series models

The Azure OpenAI o* 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.

Model ID Description Max Request (tokens) Training Data (up to)
o3-mini (2025-01-31) The latest reasoning model, offering enhanced reasoning abilities.
- Structured outputs
- Text-only processing
- Functions/Tools		 Input: 200,000
Output: 100,000		 Oct 2023
o1 (2024-12-17) The most capable model in the o1 series, offering enhanced reasoning abilities.
- Structured outputs
- Text, image processing
- Functions/Tools		 Input: 200,000
Output: 100,000		 Oct 2023
o1-preview (2024-09-12) Older preview version Input: 128,000
Output: 32,768		 Oct 2023
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.

Global standard deployment available by default.

Standard (regional) deployments are currently only available for select customers who received access as part of the o1-preview limited access release.		 Input: 128,000
Output: 65,536		 Oct 2023

Availability

To learn more about the advanced o-series models see, getting started with reasoning models.

Region availability

Model Region
o3-mini See the models table.
o1 See the models table.
o1-preview See the models table. This model is only available for customers who were granted access as part of the original limited access
o1-mini See the models table.

GPT-4o audio

The GPT 4o audio models are part of the GPT-4o model family and support either low-latency, "speech in, speech out" conversational interactions or audio generation.

  • GPT-4o real-time audio is designed to handle real-time, low-latency conversational interactions, making it a great fit for support agents, assistants, translators, and other use cases that need highly responsive back-and-forth with a user. For more information on how to use GPT-4o real-time audio, see the GPT-4o real-time audio quickstart and how to use GPT-4o audio.
  • GPT-4o audio completion is designed to generate audio from audio or text prompts, making it a great fit for generating audio books, audio content, and other use cases that require audio generation. The GPT-4o audio completions model introduces the audio modality into the existing /chat/completions API. For more information on how to use GPT-4o audio completions, see the audio generation quickstart.

Svarilo

We don't recommend using preview models in production. We will upgrade all deployments of preview models to either future preview versions or to the latest stable GA version. Models that are designated preview don't follow the standard Azure OpenAI model lifecycle.

To use GPT-4o audio, you need an Azure OpenAI resource in one of the supported regions.

When your resource is created, you can deploy the GPT-4o audio model.

Details about maximum request tokens and training data are available in the following table.

Model ID Description Max Request (tokens) Training Data (up to)
gpt-4o-mini-audio-preview (2024-12-17)
GPT-4o audio		 Audio model for audio and text generation. Input: 128,000
Output: 4,096		 Oct 2023
gpt-4o-mini-realtime-preview (2024-12-17)
GPT-4o audio		 Audio model for real-time audio processing. Input: 128,000
Output: 4,096		 Oct 2023
gpt-4o-audio-preview (2024-12-17)
GPT-4o audio		 Audio model for audio and text generation. Input: 128,000
Output: 4,096		 Oct 2023
gpt-4o-realtime-preview (2024-12-17)
GPT-4o audio		 Audio model for real-time audio processing. Input: 128,000
Output: 4,096		 Oct 2023
gpt-4o-realtime-preview (2024-10-01)
GPT-4o audio		 Audio model for real-time audio processing. Input: 128,000
Output: 4,096		 Oct 2023

Region availability

Model Region
gpt-4o-mini-audio-preview East US2 (Global Standard)
gpt-4o-mini-realtime-preview East US2 (Global Standard)
Sweden Central (Global Standard)
gpt-4o-audio-preview East US2 (Global Standard)
Sweden Central (Global Standard)
gpt-4o-realtime-preview East US2 (Global Standard)
Sweden Central (Global Standard)

To compare the availability of GPT-4o audio models across all regions, see the models table.

GPT-4o and GPT-4 Turbo

GPT-4o integrates text and images in a single model, enabling it to handle multiple data types simultaneously. This multimodal approach enhances accuracy and responsiveness in human-computer interactions. GPT-4o matches GPT-4 Turbo in English text and coding tasks while offering superior performance in non-English languages and vision tasks, setting new benchmarks for AI capabilities.

How do I access the GPT-4o and GPT-4o mini models?

GPT-4o and GPT-4o mini are available for standard and global-standard model deployment.

You need to create or use an existing resource in a supported standard or global standard region where the model is available.

When your resource is created, you can deploy the GPT-4o models. If you are performing a programmatic deployment, the model names are:

  • gpt-4o Version 2024-11-20
  • gpt-4o Version 2024-08-06
  • gpt-4o Version 2024-05-13
  • gpt-4o-mini Version 2024-07-18

GPT-4 Turbo

GPT-4 Turbo is a large multimodal model (accepting text or image inputs and generating text) that can solve difficult problems with greater accuracy than any of OpenAI's previous models. Like GPT-3.5 Turbo, and older GPT-4 models GPT-4 Turbo is optimized for chat and works well for traditional completions tasks.

The latest GA release of GPT-4 Turbo is:

  • gpt-4 Version: turbo-2024-04-09

This is the replacement for the following preview models:

  • gpt-4 Version: 1106-Preview
  • gpt-4 Version: 0125-Preview
  • gpt-4 Version: vision-preview

Differences between OpenAI and Azure OpenAI GPT-4 Turbo GA Models

  • OpenAI's version of the latest 0409 turbo model supports JSON mode and function calling for all inference requests.
  • Azure OpenAI's version of the latest turbo-2024-04-09 currently doesn't support the use of JSON mode and function calling when making inference requests with image (vision) input. Text based input requests (requests without image_url and inline images) do support JSON mode and function calling.

Differences from gpt-4 vision-preview

  • Azure AI specific Vision enhancements integration with GPT-4 Turbo with Vision isn't supported for gpt-4 Version: turbo-2024-04-09. This includes Optical Character Recognition (OCR), object grounding, video prompts, and improved handling of your data with images.

Pomembno

Vision enhancements preview features including Optical Character Recognition (OCR), object grounding, video prompts will be retired and no longer available once gpt-4 Version: vision-preview is upgraded to turbo-2024-04-09. If you are currently relying on any of these preview features, this automatic model upgrade will be a breaking change.

GPT-4 Turbo provisioned managed availability

  • gpt-4 Version: turbo-2024-04-09 is available for both standard and provisioned deployments. Currently the provisioned version of this model doesn't support image/vision inference requests. Provisioned deployments of this model only accept text input. Standard model deployments accept both text and image/vision inference requests.

Deploying GPT-4 Turbo with Vision GA

To deploy the GA model from the Azure AI Foundry portal, select GPT-4 and then choose the turbo-2024-04-09 version from the dropdown menu. The default quota for the gpt-4-turbo-2024-04-09 model will be the same as current quota for GPT-4-Turbo. See the regional quota limits.

GPT-4

GPT-4 is the predecessor to GPT-4 Turbo. Both the GPT-4 and GPT-4 Turbo models have a base model name of gpt-4. You can distinguish between the GPT-4 and Turbo models by examining the model version.

  • gpt-4 Version 0314
  • gpt-4 Version 0613
  • gpt-4-32k Version 0613

You can see the token context length supported by each model in the model summary table.

GPT-4 and GPT-4 Turbo models

  • These models can only be used with the Chat Completion API.

See model versions to learn about how Azure OpenAI Service handles model version upgrades, and working with models to learn how to view and configure the model version settings of your GPT-4 deployments.

Model ID Description Max Request (tokens) Training Data (up to)
gpt-4o (2024-11-20)
GPT-4o (Omni)		 Latest large GA model
- Structured outputs
- Text, image processing
- JSON Mode
- parallel function calling
- Enhanced accuracy and responsiveness
- Parity with English text and coding tasks compared to GPT-4 Turbo with Vision
- Superior performance in non-English languages and in vision tasks.
- Enhanced creative writing ability		 Input: 128,000
Output: 16,384		 Oct 2023
gpt-4o (2024-08-06)
GPT-4o (Omni)		 - Structured outputs
- Text, image processing
- JSON Mode
- parallel function calling
- Enhanced accuracy and responsiveness
- Parity with English text and coding tasks compared to GPT-4 Turbo with Vision
- Superior performance in non-English languages and in vision tasks		 Input: 128,000
Output: 16,384		 Oct 2023
gpt-4o-mini (2024-07-18)
GPT-4o mini		 Latest small GA model
- Fast, inexpensive, capable model ideal for replacing GPT-3.5 Turbo series models.
- Text, image processing
- JSON Mode
- parallel function calling		 Input: 128,000
Output: 16,384		 Oct 2023
gpt-4o (2024-05-13)
GPT-4o (Omni)		 Text, image processing
- JSON Mode
- parallel function calling
- Enhanced accuracy and responsiveness
- Parity with English text and coding tasks compared to GPT-4 Turbo with Vision
- Superior performance in non-English languages and in vision tasks		 Input: 128,000
Output: 4,096		 Oct 2023
gpt-4 (turbo-2024-04-09)
GPT-4 Turbo with Vision		 New GA model
- Replacement for all previous GPT-4 preview models (vision-preview, 1106-Preview, 0125-Preview).
- Feature availability is currently different depending on method of input, and deployment type.		 Input: 128,000
Output: 4,096		 Dec 2023
gpt-4 (0125-Preview)*
GPT-4 Turbo Preview		 Preview Model
-Replaces 1106-Preview
- Better code generation performance
- Reduces cases where the model doesn't complete a task
- JSON Mode
- parallel function calling
- reproducible output (preview)		 Input: 128,000
Output: 4,096		 Dec 2023
gpt-4 (vision-preview)
GPT-4 Turbo with Vision Preview		 Preview model
- Accepts text and image input.
- Supports enhancements
- JSON Mode
- parallel function calling
- reproducible output (preview)		 Input: 128,000
Output: 4,096		 Apr 2023
gpt-4 (1106-Preview)
GPT-4 Turbo Preview		 Preview Model
- JSON Mode
- parallel function calling
- reproducible output (preview)		 Input: 128,000
Output: 4,096		 Apr 2023
gpt-4-32k (0613) Older GA model
- Basic function calling with tools		 32,768 Sep 2021
gpt-4 (0613) Older GA model
- Basic function calling with tools		 8,192 Sep 2021
gpt-4-32k(0314) Older GA model
- Retirement information		 32,768 Sep 2021
gpt-4 (0314) Older GA model
- Retirement information		 8,192 Sep 2021

Svarilo

We don't recommend using preview models in production. We will upgrade all deployments of preview models to either future preview versions or to the latest stable GA version. Models that are designated preview don't follow the standard Azure OpenAI model lifecycle.

  • GPT-4 version 0125-preview is an updated version of the GPT-4 Turbo preview previously released as version 1106-preview.
  • GPT-4 version 0125-preview completes tasks such as code generation more completely compared to gpt-4-1106-preview. Because of this, depending on the task, customers may find that GPT-4-0125-preview generates more output compared to the gpt-4-1106-preview. We recommend customers compare the outputs of the new model. GPT-4-0125-preview also addresses bugs in gpt-4-1106-preview with UTF-8 handling for non-English languages.
  • GPT-4 version turbo-2024-04-09 is the latest GA release and replaces 0125-Preview, 1106-preview, and vision-preview.

GPT-3.5

GPT-3.5 models can understand and generate natural language or code. The most capable and cost effective model in the GPT-3.5 family is GPT-3.5 Turbo, which has been optimized for chat and works well for traditional completions tasks as well. GPT-3.5 Turbo is available for use with the Chat Completions API. GPT-3.5 Turbo Instruct has similar capabilities to text-davinci-003 using the Completions API instead of the Chat Completions API. We recommend using GPT-3.5 Turbo and GPT-3.5 Turbo Instruct over legacy GPT-3.5 and GPT-3 models.

Model ID Description Max Request (tokens) Training Data (up to)
gpt-35-turbo (0125) NEW Latest GA Model
- JSON Mode
- parallel function calling
- reproducible output (preview)
- Higher accuracy at responding in requested formats.
- Fix for a bug which caused a text encoding issue for non-English language function calls.		 Input: 16,385
Output: 4,096		 Sep 2021
gpt-35-turbo (1106) Older GA Model
- JSON Mode
- parallel function calling
- reproducible output (preview)		 Input: 16,385
Output: 4,096		 Sep 2021
gpt-35-turbo-instruct (0914) Completions endpoint only
- Replacement for legacy completions models		 4,097 Sep 2021
gpt-35-turbo-16k (0613) Older GA Model
- Basic function calling with tools		 16,384 Sep 2021
gpt-35-turbo (0613) Older GA Model
- Basic function calling with tools		 4,096 Sep 2021
gpt-35-turbo1 (0301) Older GA Model
- Retirement information		 4,096 Sep 2021

To learn more about how to interact with GPT-3.5 Turbo and the Chat Completions API check out our in-depth how-to.

1 This model will accept requests > 4,096 tokens. It is not recommended to exceed the 4,096 input token limit as the newer version of the model are capped at 4,096 tokens. If you encounter issues when exceeding 4,096 input tokens with this model this configuration is not officially supported.

Embeddings

text-embedding-3-large is the latest and most capable embedding model. Upgrading between embeddings models is not possible. In order to move from using text-embedding-ada-002 to text-embedding-3-large you would need to generate new embeddings.

  • text-embedding-3-large
  • text-embedding-3-small
  • text-embedding-ada-002

In testing, OpenAI reports both the large and small third generation embeddings models offer better average multi-language retrieval performance with the MIRACL benchmark while still maintaining performance for English tasks with the MTEB benchmark.

Evaluation Benchmark text-embedding-ada-002 text-embedding-3-small text-embedding-3-large
MIRACL average 31.4 44.0 54.9
MTEB average 61.0 62.3 64.6

The third generation embeddings models support reducing the size of the embedding via a new dimensions parameter. Typically larger embeddings are more expensive from a compute, memory, and storage perspective. Being able to adjust the number of dimensions allows more control over overall cost and performance. The dimensions parameter is not supported in all versions of the OpenAI 1.x Python library, to take advantage of this parameter we recommend upgrading to the latest version: pip install openai --upgrade.

OpenAI's MTEB benchmark testing found that even when the third generation model's dimensions are reduced to less than text-embeddings-ada-002 1,536 dimensions performance remains slightly better.

DALL-E

The DALL-E models generate images from text prompts that the user provides. DALL-E 3 is generally available for use with the REST APIs. DALL-E 2 and DALL-E 3 with client SDKs are in preview.

Whisper

The Whisper models can be used for speech to text.

You can also use the Whisper model via Azure AI Speech batch transcription API. Check out What is the Whisper model? to learn more about when to use Azure AI Speech vs. Azure OpenAI Service.

Text to speech (Preview)

The OpenAI text to speech models, currently in preview, can be used to synthesize text to speech.

You can also use the OpenAI text to speech voices via Azure AI Speech. To learn more, see OpenAI text to speech voices via Azure OpenAI Service or via Azure AI Speech guide.

Model summary table and region availability

Models by deployment type

Azure OpenAI provides customers with choices on the hosting structure that fits their business and usage patterns. The service offers two main types of deployment:

  • Standard is offered with a global deployment option, routing traffic globally to provide higher throughput.
  • Provisioned is also offered with a global deployment option, allowing customers to purchase and deploy provisioned throughput units across Azure global infrastructure.

All deployments can perform the exact same inference operations, however the billing, scale, and performance are substantially different. To learn more about Azure OpenAI deployment types see our deployment types guide.

Global standard model availability

Region o3-mini, 2025-01-31 o1, 2024-12-17 o1-preview, 2024-09-12 o1-mini, 2024-09-12 gpt-4o, 2024-05-13 gpt-4o, 2024-08-06 gpt-4o, 2024-11-20 gpt-4o-mini, 2024-07-18 gpt-4o-realtime-preview, 2024-12-17 gpt-4o-realtime-preview, 2024-10-01 gpt-4o-audio-preview, 2024-12-17 gpt-4o-mini-realtime-preview, 2024-12-17 gpt-4o-mini-audio-preview, 2024-12-17 gpt-4, turbo-2024-04-09
australiaeast - - - - ✅ ✅ - ✅ - - - - - ✅
brazilsouth - - - - ✅ ✅ - ✅ - - - - - ✅
canadaeast - - - - ✅ ✅ - ✅ - - - - - ✅
eastus - - ✅ ✅ ✅ ✅ ✅ ✅ - - - - - ✅
eastus2 ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅
francecentral - - - - ✅ ✅ - ✅ - - - - - ✅
germanywestcentral - - - - ✅ ✅ - ✅ - - - - - ✅
japaneast - - - - ✅ ✅ - ✅ - - - - - ✅
koreacentral - - - - ✅ ✅ - ✅ - - - - - ✅
northcentralus - - ✅ ✅ ✅ ✅ ✅ ✅ - - - - - ✅
norwayeast - - - - ✅ ✅ - ✅ - - - - - ✅
polandcentral - - - - ✅ ✅ - ✅ - - - - - ✅
southafricanorth - - - - ✅ ✅ - ✅ - - - - - ✅
southcentralus - - ✅ ✅ ✅ ✅ ✅ ✅ - - - - - ✅
southindia - - - - ✅ ✅ - ✅ - - - - - ✅
spaincentral - - - - ✅ ✅ - ✅ - - - - - ✅
swedencentral ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ ✅ - ✅
switzerlandnorth - - - - ✅ ✅ - ✅ - - - - - ✅
uaenorth - - - - ✅ ✅ - ✅ - - - - - ✅
uksouth - - - - ✅ ✅ - ✅ - - - - - ✅
westeurope - - - - ✅ ✅ - ✅ - - - - - ✅
westus - - ✅ ✅ ✅ ✅ ✅ ✅ - - - - - ✅
westus3 - - ✅ ✅ ✅ ✅ ✅ ✅ - - - - - ✅

Opomba

o1-mini is currently available to all customers for global standard deployment.

Select customers were granted standard (regional) deployment access to o1-mini as part of the o1-preview limited access release. At this time access to o1-mini standard (regional) deployments is not being expanded.

This table doesn't include fine-tuning regional availability information. Consult the fine-tuning section for this information.

Standard models by endpoint

Chat completions

Region o1-preview, 2024-09-12 o1-mini, 2024-09-12 gpt-4o, 2024-05-13 gpt-4o, 2024-08-06 gpt-4o-mini, 2024-07-18 gpt-4, 0613 gpt-4, 1106-Preview gpt-4, 0125-Preview gpt-4, vision-preview gpt-4, turbo-2024-04-09 gpt-4-32k, 0613 gpt-35-turbo, 0301 gpt-35-turbo, 0613 gpt-35-turbo, 1106 gpt-35-turbo, 0125 gpt-35-turbo-16k, 0613
australiaeast - - - - - ✅ ✅ - ✅ - ✅ - ✅ ✅ ✅ ✅
canadaeast - - - - - ✅ ✅ - - - ✅ - ✅ ✅ ✅ ✅
eastus ✅ ✅ ✅ ✅ ✅ ✅ - ✅ - ✅ - ✅ ✅ - ✅ ✅
eastus2 ✅ ✅ ✅ ✅ ✅ ✅ ✅ - - ✅ - - ✅ - ✅ ✅
francecentral - - - - - ✅ ✅ - - - ✅ ✅ ✅ ✅ - ✅
japaneast - - - - - - - - ✅ - - - ✅ - ✅ ✅
northcentralus ✅ ✅ ✅ ✅ ✅ ✅ - ✅ - ✅ - - ✅ - ✅ ✅
norwayeast - - - - - - ✅ - - - - - - - - -
southcentralus ✅ ✅ ✅ ✅ ✅ - - ✅ - ✅ - ✅ - - ✅ -
southindia - - - - - - ✅ - - - - - - ✅ ✅ -
swedencentral ✅ ✅ ✅ ✅ ✅ ✅ ✅ - ✅ ✅ ✅ - ✅ ✅ - ✅
switzerlandnorth - - - - - ✅ - - ✅ - ✅ - ✅ - ✅ ✅
uksouth - - - - - - ✅ ✅ - - - ✅ ✅ ✅ ✅ ✅
westeurope - - - - - - - - - - - ✅ - - - -
westus ✅ ✅ ✅ ✅ ✅ - ✅ - ✅ ✅ - - - ✅ ✅ -
westus3 ✅ ✅ ✅ ✅ ✅ - ✅ - - ✅ - - - - ✅ -

Opomba

o1-mini is currently available to all customers for global standard deployment.

Select customers were granted standard (regional) deployment access to o1-mini as part of the o1-preview limited access release. At this time access to o1-mini standard (regional) deployments is not being expanded.

GPT-4 and GPT-4 Turbo model availability

Select customer access

In addition to the regions above which are available to all Azure OpenAI customers, some select preexisting customers have been granted access to versions of GPT-4 in additional regions:

Model Region
gpt-4 (0314)
gpt-4-32k (0314)		 East US
France Central
South Central US
UK South
gpt-4 (0613)
gpt-4-32k (0613)		 East US
East US 2
Japan East
UK South

GPT-3.5 models

See model versions to learn about how Azure OpenAI Service handles model version upgrades, and working with models to learn how to view and configure the model version settings of your GPT-3.5 Turbo deployments.

Fine-tuning models

Opomba

gpt-35-turbo - Fine-tuning of this model is limited to a subset of regions, and isn't available in every region the base model is available.

The supported regions for fine-tuning might vary if you use Azure OpenAI models in an Azure AI Foundry project versus outside a project.

Model ID Fine-tuning regions Max request (tokens) Training Data (up to)
gpt-35-turbo (0613) East US2
North Central US
Sweden Central
Switzerland West		 4,096 Sep 2021
gpt-35-turbo (1106) East US2
North Central US
Sweden Central
Switzerland West		 Input: 16,385
Output: 4,096		 Sep 2021
gpt-35-turbo (0125) East US2
North Central US
Sweden Central
Switzerland West		 16,385 Sep 2021
gpt-4 (0613) 1 North Central US
Sweden Central		 8192 Sep 2021
gpt-4o-mini (2024-07-18) North Central US
Sweden Central		 Input: 128,000
Output: 16,384
Training example context length: 64,536		 Oct 2023
gpt-4o (2024-08-06) East US2
North Central US
Sweden Central		 Input: 128,000
Output: 16,384
Training example context length: 64,536		 Oct 2023

1 GPT-4 is currently in public preview.

Assistants (Preview)

For Assistants you need a combination of a supported model, and a supported region. Certain tools and capabilities require the latest models. The following models are available in the Assistants API, SDK, and Azure AI Foundry. The following table is for pay-as-you-go. For information on Provisioned Throughput Unit (PTU) availability, see provisioned throughput. The listed models and regions can be used with both Assistants v1 and v2. You can use global standard models if they are supported in the regions listed below.

Region gpt-4o, 2024-05-13 gpt-4o, 2024-08-06 gpt-4o-mini, 2024-07-18 gpt-4, 0613 gpt-4, 1106-Preview gpt-4, 0125-Preview gpt-4, turbo-2024-04-09 gpt-4-32k, 0613 gpt-35-turbo, 0613 gpt-35-turbo, 1106 gpt-35-turbo, 0125 gpt-35-turbo-16k, 0613
australiaeast - - - ✅ ✅ - - ✅ ✅ ✅ ✅ ✅
eastus ✅ ✅ ✅ - - ✅ ✅ - ✅ - ✅ ✅
eastus2 ✅ ✅ ✅ - ✅ - ✅ - ✅ - ✅ ✅
francecentral - - - ✅ ✅ - - ✅ ✅ ✅ - ✅
japaneast - - - - - - - - ✅ - ✅ ✅
norwayeast - - - - ✅ - - - - - - -
southindia - - - - ✅ - - - - ✅ ✅ -
swedencentral ✅ ✅ ✅ ✅ ✅ - ✅ ✅ ✅ ✅ - ✅
uksouth - - - - ✅ ✅ - - ✅ ✅ ✅ ✅
westus ✅ ✅ ✅ - ✅ - ✅ - - ✅ ✅ -
westus3 ✅ ✅ ✅ - ✅ - ✅ - - - ✅ -

Model retirement

For the latest information on model retirements, refer to the model retirement guide.

Next steps