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- Article
- 08/22/2023
In this article
Azure OpenAI Service is powered by a diverse set of models with different capabilities and price points. Model availability varies by region. For GPT-3 and other models retiring in July 2024, see Azure OpenAI Service legacy models.
| Models | Description |
|---|---|
| GPT-4 | A set of models that improve on GPT-3.5 and can understand as well as generate natural language and code. |
| GPT-3.5 | A set of models that improve on GPT-3 and can understand as well as generate natural language and code. |
| Embeddings | A set of models that can convert text into numerical vector form to facilitate text similarity. |
| DALL-E (Preview) | A series of models in preview that can generate original images from natural language. |
GPT-4
GPT-4 can solve difficult problems with greater accuracy than any of OpenAI’s previous models. Like GPT-3.5 Turbo, GPT-4 is optimized for chat and works well for traditional completions tasks. Use the Chat Completions API to use GPT-4. To learn more about how to interact with GPT-4 and the Chat Completions API check out our in-depth how-to.
To request access to GPT-4, Azure OpenAI customers can apply by filling out this form
The gpt-4 model supports 8192 max input tokens and the gpt-4-32k model supports up to 32,768 tokens.
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. We recommend using GPT-3.5 Turbo over legacy GPT-3.5 and GPT-3 models.
- gpt-35-turbo
- gpt-35-turbo-16k
The gpt-35-turbo model supports 4096 max input tokens and the gpt-35-turbo-16k model supports up to 16,384 tokens.
Like GPT-4, use the Chat Completions API to use GPT-3.5 Turbo. To learn more about how to interact with GPT-3.5 Turbo and the Chat Completions API check out our in-depth how-to.
Embeddings models
Important
We strongly recommend using text-embedding-ada-002 (Version 2). This model/version provides parity with OpenAI’s text-embedding-ada-002. To learn more about the improvements offered by this model, please refer to OpenAI’s blog post. Even if you are currently using Version 1 you should migrate to Version 2 to take advantage of the latest weights/updated token limit. Version 1 and Version 2 are not interchangeable, so document embedding and document search must be done using the same version of the model.
Currently, we offer three families of Embeddings models for different functionalities: The following list indicates the length of the numerical vector returned by the service, based on model capability:
| Base Model | Model(s) | Dimensions |
|---|---|---|
| Ada | models ending in -001 (Version 1) | 1024 |
| Ada | text-embedding-ada-002 (Version 2) | 1536 |
DALL-E (Preview)
The DALL-E models, currently in preview, generate images from text prompts that the user provides.
Model summary table and region availability
Important
Due to high demand:
- South Central US is temporarily unavailable for creating new resources and deployments.
GPT-4 models
These models can only be used with the Chat Completion API.
| Model ID | Base model Regions | Fine-Tuning Regions | Max Request (tokens) | Training Data (up to) |
|---|---|---|---|---|
| gpt-4 1,2 (0314) | N/A | 8,192 | September 2021 | |
| gpt-4-32k 1,2 (0314) | N/A | 32,768 | September 2021 | |
| gpt-4 13 (0613) | Australia East, Canada East, East US, East US 2, France Central, Japan East, UK South | N/A | 8,192 | September 2021 |
| gpt-4-32k 13 (0613) | Australia East, Canada East, East US, East US 2, France Central, Japan East, UK South | N/A | 32,768 | September 2021 |
1 The model is only available by request.
2 Version 0314 of gpt-4 and gpt-4-32k will be retired no earlier than July 5, 2024. See model updates for model upgrade behavior.
3 We are rolling out availability of new regions to customers gradually to ensure a smooth experience. In East US and France Central, customers with existing deployments of GPT-4 can create additional deployments of GPT-4 version 0613. For customers new to GPT-4 on Azure OpenAI, please use one of the other available regions.
GPT-3.5 models
GPT-3.5 Turbo is used with the Chat Completion API. GPT-3.5 Turbo (0301) can also be used with the Completions API. GPT3.5 Turbo (0613) only supports the Chat Completions API.
| Model ID | Base model Regions | Fine-Tuning Regions | Max Request (tokens) | Training Data (up to) |
|---|---|---|---|---|
| gpt-35-turbo1 (0301) | East US, France Central, South Central US, UK South, West Europe | N/A | 4,096 | Sep 2021 |
| gpt-35-turbo (0613) | Australia East, Canada East, East US, East US 2, France Central, Japan East, North Central US, UK South | N/A | 4,096 | Sep 2021 |
| gpt-35-turbo-16k (0613) | Australia East, Canada East, East US, East US 2, France Central, Japan East, North Central US, UK South | N/A | 16,384 | Sep 2021 |
1 Version 0301 of gpt-35-turbo will be retired no earlier than July 5, 2024. See model updates for model upgrade behavior.
Embeddings models
These models can only be used with Embedding API requests.
Note
We strongly recommend using text-embedding-ada-002 (Version 2). This model/version provides parity with OpenAI’s text-embedding-ada-002. To learn more about the improvements offered by this model, please refer to OpenAI’s blog post. Even if you are currently using Version 1 you should migrate to Version 2 to take advantage of the latest weights/updated token limit. Version 1 and Version 2 are not interchangeable, so document embedding and document search must be done using the same version of the model.
| Model ID | Base model Regions | Fine-Tuning Regions | Max Request (tokens) | Training Data (up to) |
|---|---|---|---|---|
| text-embedding-ada-002 (version 2) | Canada East, East US, France Central, Japan East, North Central US, South Central US, UK South, West Europe | N/A | 8,191 | Sep 2021 |
| text-embedding-ada-002 (version 1) | East US, South Central US, West Europe | N/A | 2,046 | Sep 2021 |
DALL-E models (Preview)
| Model ID | Base model Regions | Fine-Tuning Regions | Max Request (characters) | Training Data (up to) |
|---|---|---|---|---|
| dalle2 | East US | N/A | 1000 | N/A |
Working with models
Finding what models are available
You can get a list of models that are available for both inference and fine-tuning by your Azure OpenAI resource by using the Models List API.
Model updates
Azure OpenAI now supports automatic updates for select model deployments. On models where automatic update support is available, a model version drop-down will be visible in Azure OpenAI Studio under Create new deployment and Edit deployment:
Auto update to default
When Auto-update to default is selected your model deployment will be automatically updated within two weeks of a new version being released.
If you are still in the early testing phases for completion and chat completion based models, we recommend deploying models with auto-update to default set whenever it is available.
Specific model version
As your use of Azure OpenAI evolves, and you start to build and integrate with applications you will likely want to manually control model updates so that you can first test and validate that model performance is remaining consistent for your use case prior to upgrade.
When you select a specific model version for a deployment this version will remain selected until you either choose to manually update yourself, or once you reach the retirement date for the model. When the retirement date is reached the model will auto-upgrade to the default version at the time of retirement.
GPT-35-Turbo 0301 and GPT-4 0314 retirement
The gpt-35-turbo (0301) and both gpt-4 (0314) models will be retired no earlier than July 5, 2024. Upon retirement, deployments will automatically be upgraded to the default version at the time of retirement. If you would like your deployment to stop accepting completion requests rather than upgrading, then you will be able to set the model upgrade option to expire through the API. We will publish guidelines on this by September 1.
Viewing deprecation dates
For currently deployed models, from Azure OpenAI Studio select Deployments:
To view deprecation/expiration dates for all available models in a given region from Azure OpenAI Studio select Models > Column options > Select Deprecation fine tune and Deprecation inference:
Update & deploy models via the API
PUT https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.CognitiveServices/accounts/{accountName}/deployments/{deploymentName}?api-version=2023-05-01
Path parameters
| Parameter | Type | Required? | Description |
|---|---|---|---|
| acountname | string | Required | The name of your Azure OpenAI Resource. |
| deploymentName | string | Required | The deployment name you chose when you deployed an existing model or the name you would like a new model deployment to have. |
| resourceGroupName | string | Required | The name of the associated resource group for this model deployment. |
| subscriptionId | string | Required | Subscription ID for the associated subscription. |
| api-version | string | Required | The API version to use for this operation. This follows the YYYY-MM-DD format. |
Supported versions
Request body
This is only a subset of the available request body parameters. For the full list of the parameters, you can refer to the REST API reference documentation.
| Parameter | Type | Description |
|---|---|---|
| versionUpgradeOption | String | Deployment model version upgrade options: OnceNewDefaultVersionAvailable OnceCurrentVersionExpired NoAutoUpgrade |
| capacity | integer | This represents the amount of quota you are assigning to this deployment. A value of 1 equals 1,000 Tokens per Minute (TPM) |
Example request
curl -X PUT https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/resource-group-temp/providers/Microsoft.CognitiveServices/accounts/docs-openai-test-001/deployments/text-embedding-ada-002-test-1?api-version=2023-05-01 -H “Content-Type: application/json” -H ‘Authorization: Bearer YOUR_AUTH_TOKEN’ -d ‘{“sku”:{“name”:”Standard”,”capacity”:1},”properties”: {“model”: {“format”: “OpenAI”,”name”: “text-embedding-ada-002″,”version”: “2”},”versionUpgradeOption”:”OnceCurrentVersionExpired”}}’
Note
There are multiple ways to generate an authorization token. The easiest method for initial testing is to launch the Cloud Shell from the Azure portal. Then run az account get-access-token. You can use this token as your temporary authorization token for API testing.
Example response
{ “id”: “/subscriptions/{subscription-id}/resourceGroups/resource-group-temp/providers/Microsoft.CognitiveServices/accounts/docs-openai-test-001/deployments/text-embedding-ada-002-test-1”, “type”: “Microsoft.CognitiveServices/accounts/deployments”, “name”: “text-embedding-ada-002-test-1”, “sku”: { “name”: “Standard”, “capacity”: 1 }, “properties”: { “model”: { “format”: “OpenAI”, “name”: “text-embedding-ada-002”, “version”: “2” }, “versionUpgradeOption”: “OnceCurrentVersionExpired”, “capabilities”: { “embeddings”: “true”, “embeddingsMaxInputs”: “1” }, “provisioningState”: “Succeeded”, “ratelimits”: [ { “key”: “request”, “renewalPeriod”: 10, “count”: 2 }, { “key”: “token”, “renewalPeriod”: 60, “count”: 1000 } ] }, “systemData”: { “createdBy”: “docs@contoso.com”, “createdByType”: “User”, “createdAt”: “2023-06-13T00:12:38.885937Z”, “lastModifiedBy”: “docs@contoso.com”, “lastModifiedByType”: “User”, “lastModifiedAt”: “2023-06-13T02:41:04.8410965Z” }, “etag”: “”{GUID}”” }
Next steps
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