@@ -4,7 +4,7 @@ titleSuffix: Azure OpenAI
 description: Learn about the deprecated models in Azure OpenAI.
 ms.service: azure-ai-openai
 ms.topic: conceptual
-ms.date: 01/31/2025
+ms.date: 04/30/2025
 ms.custom: references_regions, build-2023, build-2023-dataai
 manager: nitinme
 author: mrbullwinkle 

@@ -4,7 +4,7 @@ titleSuffix: Azure OpenAI
 description: Learn about model versions in Azure OpenAI. 
 ms.service: azure-ai-openai
 ms.topic: conceptual 
-ms.date: 01/09/2025
+ms.date: 04/30/2025
 manager: nitinme
 author: mrbullwinkle #ChrisHMSFT
 ms.author: mbullwin #chrhoder
@@ -45,7 +45,7 @@ As a customer of Azure OpenAI models, you might notice some changes in the model
 
 Yes, even in cases where the latest model version is not yet available in a region, we will automatically 
 upgrade deployments during the scheduled upgrade window. Our engineering team will begin rollout of the new model version starting on the announced 
-upgrade date. For example, if `gpt-35-turbo-0125` is not yet available in Japan East, we will deploy it to Japan East to upgrade older model 
+upgrade date. For example, if `gpt-35-turbo-0125` is not yet available in Japan East, we will deploy `gpt-35-turbo-0125` to Japan East to upgrade older model 
 versions as part of the default model version upgrade process. 
 
 

@@ -6,7 +6,7 @@ manager: nitinme
 ms.service: azure-ai-openai
 ms.custom: devx-track-azurecli, build-2023, build-2023-dataai, devx-track-azurepowershell, innovation-engine
 ms.topic: how-to
-ms.date: 01/31/2025
+ms.date: 04/30/2025
 zone_pivot_groups: openai-create-resource
 author: mrbullwinkle
 ms.author: mbullwin

@@ -232,7 +232,7 @@ With DALL-E 3, you can't generate more than one image in a single API call: the
 
 #### Response format
 
-The format in which dall-e-3 generated images are returned. Must be one of `url` or `b64_json`. This parameter isn't supported for gpt-image-1 which will always return base64-encoded images.
+The format in which DALL-E 3 generated images are returned. Must be one of `url` or `b64_json`. This parameter isn't supported for GPT-image-1 which always returns base64-encoded images.
 
 ---
 

@@ -6,7 +6,7 @@ author: mrbullwinkle
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: how-to
-ms.date: 01/24/2025
+ms.date: 04/30/2025
 ms.author: mbullwin
 ---
 

@@ -6,7 +6,7 @@ author: mrbullwinkle
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: how-to
-ms.date: 01/31/2025
+ms.date: 04/30/2025
 ms.author: mbullwin
 ---
 

@@ -6,7 +6,7 @@ manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: how-to
 ms.custom: references_regions
-ms.date: 01/29/2025
+ms.date: 04/30/2025
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false

@@ -6,7 +6,7 @@ ms.author: mbullwin
 ms.custom: subject-cost-optimization
 ms.service: azure-ai-openai
 ms.topic: how-to
-ms.date: 01/31/2025
+ms.date: 04/30/2025
 ---
 
 
@@ -30,7 +30,7 @@ Azure OpenAI Service runs on Azure infrastructure that accrues costs when you de
 
 ### Model inference chat completions
 
-Azure OpenAI chat completions model inference is [charged per 1,000 tokens with different rates](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) depending on model and [deployment type](./deployment-types.md).
+Azure OpenAI chat completions model inference is [charged per 1,000 tokens with different rates](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) depending on model and [deployment type](./deployment-types.md). For most models pricing is now listed in terms of 1 million tokens.
 
 Azure OpenAI models understand and process text by breaking it down into tokens. For reference, each token is roughly four characters for typical English text.
 

@@ -4,7 +4,7 @@ titleSuffix: Azure OpenAI
 description: Provides guidance on how to set managed identity with Microsoft Entra ID
 ms.service: azure-ai-openai
 ms.topic: how-to 
-ms.date: 01/31/2025
+ms.date: 04/30/2025
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false
@@ -50,13 +50,13 @@ token_provider = get_bearer_token_provider(
 )
 
 client = AzureOpenAI(
-    api_version="2024-02-15-preview",
+    api_version="2024-04-01-preview",
     azure_endpoint="https://{your-custom-endpoint}.openai.azure.com/",
     azure_ad_token_provider=token_provider
 )
 
 response = client.chat.completions.create(
-    model="gpt-35-turbo-0125", # model = "deployment_name".
+    model="gpt-4o", # model = "deployment_name".
     messages=[
         {"role": "system", "content": "You are a helpful assistant."},
         {"role": "user", "content": "Does Azure OpenAI support customer managed keys?"},

@@ -7,7 +7,7 @@ ms.author: mbullwin
 ms.service: azure-ai-openai
 ms.custom: devx-track-python
 ms.topic: how-to
-ms.date: 01/31/2025
+ms.date: 04/30/2025
 manager: nitinme
 ---
 

@@ -6,7 +6,7 @@ author: mrbullwinkle
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: how-to
-ms.date: 01/09/2025
+ms.date: 04/30/2025
 ms.author: mbullwin
 ---
 
@@ -28,11 +28,11 @@ Quota provides the flexibility to actively manage the allocation of rate limits
 Azure OpenAI's quota feature enables assignment of rate limits to your deployments, up-to a global limit called your *quota*. Quota is assigned to your subscription on a per-region, per-model basis in units of **Tokens-per-Minute (TPM)**. When you onboard a subscription to Azure OpenAI, you'll receive default quota for most available models. Then, you'll assign TPM to each deployment as it is created, and the available quota for that model will be reduced by that amount. You can continue to create deployments and assign them TPM until you reach your quota limit. Once that happens, you can only create new deployments of that model by reducing the TPM assigned to other deployments of the same model (thus freeing TPM for use), or by requesting and being approved for a model quota increase in the desired region.
 
 > [!NOTE]
-> With a quota of 240,000 TPM for GPT-35-Turbo in East US, a customer can create a single deployment of 240 K TPM, 2 deployments of 120 K TPM each, or any number of deployments in one or multiple Azure OpenAI resources as long as their TPM adds up to less than 240 K total in that region.
+> With a quota of 240,000 TPM for GPT-4o in East US, a customer can create a single deployment of 240 K TPM, 2 deployments of 120 K TPM each, or any number of deployments in one or multiple Azure OpenAI resources as long as their TPM adds up to less than 240 K total in that region.
 
 When a deployment is created, the assigned TPM will directly map to the tokens-per-minute rate limit enforced on its inferencing requests. A **Requests-Per-Minute (RPM)** rate limit will also be enforced whose value is set proportionally to the TPM assignment using the following ratio:
 
-6 RPM per 1000 TPM.
+6 RPM per 1000 TPM. (This ratio can vary by model for more information, see [quota, and limits](../quotas-limits.md#o-series-rate-limits).)
 
 The flexibility to distribute TPM globally within a subscription and region has allowed Azure OpenAI Service to loosen other restrictions:
 
@@ -145,10 +145,10 @@ This is only a subset of the available request body parameters. For the full lis
 #### Example request
 
 ```Bash
-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/gpt-35-turbo-test-deployment?api-version=2023-05-01 \
+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/gpt-4o-test-deployment?api-version=2023-05-01 \
   -H "Content-Type: application/json" \
   -H 'Authorization: Bearer YOUR_AUTH_TOKEN' \
-  -d '{"sku":{"name":"Standard","capacity":10},"properties": {"model": {"format": "OpenAI","name": "gpt-35-turbo","version": "0613"}}}'
+  -d '{"sku":{"name":"Standard","capacity":10},"properties": {"model": {"format": "OpenAI","name": "gpt-4o","version": "2024-11-20"}}}'
 ```
 
 > [!NOTE]
@@ -215,7 +215,7 @@ az login
 By setting sku-capacity to 10 in the command below this deployment will be set with a 10K TPM limit.
 
 ```azurecli
-az cognitiveservices account deployment create -g test-resource-group -n test-resource-name --deployment-name test-deployment-name --model-name gpt-35-turbo --model-version "0613" --model-format OpenAI --sku-capacity 10 --sku-name "Standard"
+az cognitiveservices account deployment create -g test-resource-group -n test-resource-name --deployment-name test-deployment-name --model-name gpt-4o --model-version "2024-11-20" --model-format OpenAI --sku-capacity 10 --sku-name "Standard"
 ```
 
 ### Usage
@@ -272,8 +272,8 @@ $cognitiveServicesDeploymentParams = @{
     Name = 'test-deployment-name'
     Properties = @{
         Model = @{
-            Name = 'gpt-35-turbo'
-            Version = '0613'
+            Name = 'gpt-4o'
+            Version = '2024-11-20'
             Format  = 'OpenAI'
         }
     }
@@ -301,7 +301,7 @@ Get-AzCognitiveServicesUsage -Location eastus
 
 This command runs in the context of the currently active subscription for Azure PowerShell. Use `Set-AzContext` to [modify the active subscription](/powershell/azure/manage-subscriptions-azureps#change-the-active-subscription).
 
-For more details on `New-AzCognitiveServicesAccountDeployment` and `Get-AzCognitiveServicesUsage`, consult the [Azure PowerShell reference documentation](/powershell/module/az.cognitiveservices/).
+For more information on `New-AzCognitiveServicesAccountDeployment` and `Get-AzCognitiveServicesUsage`, see [Azure PowerShell reference documentation](/powershell/module/az.cognitiveservices/).
 
 # [Azure Resource Manager](#tab/arm)
 
@@ -324,8 +324,8 @@ For more details on `New-AzCognitiveServicesAccountDeployment` and `Get-AzCognit
     "properties": {
         "model": {
             "format": "OpenAI",
-            "name": "gpt-35-turbo",
-            "version": "0613"        // Version 0613 of gpt-35-turbo will be used
+            "name": "gpt-4o",
+            "version": "2024-11-20"       
         }
     }
 }
@@ -350,8 +350,8 @@ resource arm_je_std_deployment 'Microsoft.CognitiveServices/accounts/deployments
   properties: {
     model: {
       format: 'OpenAI'
-      name: 'gpt-35-turbo'
-      version: '0613'           // gpt-35-turbo version 0613 will be used
+      name: 'gpt-4o'
+      version: '2024-11-20'          
     }
   }
 }
@@ -425,8 +425,8 @@ resource "azapi_resource" "TERRAFORM-AOAI-STD-DEPLOYMENT" {
     properties = {
         model = {
             format = "OpenAI",
-            name = "gpt-35-turbo",
-            version = "0613"           # Deploy gpt-35-turbo version 0613
+            name = "gpt-4o",
+            version = "2024-11-20"           
         }
     }
   })

@@ -18,7 +18,7 @@ ms.author: aahi
 ## Prerequisites
 
 - An Azure subscription - <a href="https://azure.microsoft.com/free/cognitive-services" target="_blank">Create one for free</a>.
-- An [Azure AI hub resource](../../../ai-foundry/how-to/create-azure-ai-resource.md) with a model deployed. For more information about model deployment, see the [resource deployment guide](../how-to/create-resource.md).
+- A GTP-4 model deployed. For more information about model deployment, see the [resource deployment guide](../how-to/create-resource.md).
 - An [Azure AI project](../../../ai-foundry/how-to/create-projects.md) in Azure AI Foundry portal.
 
 ## Go to the Azure AI Foundry portal

@@ -7,7 +7,7 @@ ms.service: azure-ai-openai
 ms.topic: include
 author: mrbullwinkle
 ms.author: mbullwin
-ms.date: 10/22
+ms.date: 04/30/2025
 ---
 
 [Source code](https://github.com/openai/openai-node) | [Package (npm)](https://www.npmjs.com/package/openai) | [Samples](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/openai/openai/samples)

@@ -77,15 +77,15 @@ az cognitiveservices account keys list \
 
 ## Deploy a model
 
-To deploy a model, use the [az cognitiveservices account deployment create](/cli/azure/cognitiveservices/account/deployment?view=azure-cli-latest&preserve-view=true#az-cognitiveservices-account-deployment-create) command. In the following example, you deploy an instance of the `text-embedding-ada-002` model and give it the name _MyModel_. When you try the example, update the code to use your values for the resource group and resource. You don't need to change the `model-version`, `model-format` or `sku-capacity`, and `sku-name` values.
+To deploy a model, use the [az cognitiveservices account deployment create](/cli/azure/cognitiveservices/account/deployment?view=azure-cli-latest&preserve-view=true#az-cognitiveservices-account-deployment-create) command. In the following example, you deploy an instance of the `gpt-4o` model and give it the name _MyModel_. When you try the example, update the code to use your values for the resource group and resource. You don't need to change the `model-version`, `model-format` or `sku-capacity`, and `sku-name` values.
 
 ```azurecli
 az cognitiveservices account deployment create \
 --name <myResourceName> \
 --resource-group  <myResourceGroupName> \
 --deployment-name MyModel \
---model-name text-embedding-ada-002 \
---model-version "1"  \
+--model-name gpt-4o \
+--model-version "2024-11-20"  \
 --model-format OpenAI \
 --sku-capacity "1" \
 --sku-name "Standard"

@@ -64,12 +64,12 @@ Get-AzCognitiveServicesAccountKey -Name MyOpenAIResource -ResourceGroupName OAIR
 
 ## Deploy a model
 
-To deploy a model, use the [New-AzCognitiveServicesAccountDeployment](/powershell/module/az.cognitiveservices/new-azcognitiveservicesaccountdeployment) command. In the following example, you deploy an instance of the `text-embedding-ada-002` model and give it the name _MyModel_. When you try the example, update the code to use your values for the resource group and resource. You don't need to change the `model-version`, `model-format` or `sku-capacity`, and `sku-name` values. 
+To deploy a model, use the [New-AzCognitiveServicesAccountDeployment](/powershell/module/az.cognitiveservices/new-azcognitiveservicesaccountdeployment) command. In the following example, you deploy an instance of the `gpt-4o` model and give it the name _MyModel_. When you try the example, update the code to use your values for the resource group and resource. You don't need to change the `model-version`, `model-format` or `sku-capacity`, and `sku-name` values. 
 
 ```azurepowershell-interactive
 $model = New-Object -TypeName 'Microsoft.Azure.Management.CognitiveServices.Models.DeploymentModel' -Property @{
-    Name = 'text-embedding-ada-002'
-    Version = '2'
+    Name = 'gpt-4o'
+    Version = '2024-11-20'
     Format = 'OpenAI'
 }
 

@@ -21,5 +21,5 @@ manager: nitinme
 | `gpt-35-turbo` (0125)  | East US2 <br> North Central US <br> Sweden Central <br> Switzerland West | 16,385 | Sep 2021 | Text to Text |
 | `gpt-4o-mini` (2024-07-18) | North Central US <br> Sweden Central | Input: 128,000 <br> Output: 16,384  <br> Training example context length: 65,536 | Oct 2023 | Text to Text |
 | `gpt-4o` (2024-08-06) | East US2 <br> North Central US <br> Sweden Central | Input: 128,000 <br> Output: 16,384  <br> Training example context length: 65,536 | Oct 2023 | Text & Vision to Text |
-| `gpt-4.1` (2025-04-14) | North Central US <br> Sweden Central | Input: 128,000 <br> Output: 16,384 <br> Training example context length: 65,536 | May 2024 | Text to Text |
+| `gpt-4.1` (2025-04-14) | North Central US <br> Sweden Central | Input: 128,000 <br> Output: 16,384 <br> Training example context length: 65,536 | May 2024 | Text & Vision to Text |
 | `gpt-4.1-mini` (2025-04-14) | North Central US <br> Sweden Central | Input: 128,000 <br> Output: 16,384 <br> Training example context length: 65,536 | May 2024 | Text to Text |

@@ -16,7 +16,6 @@ ms.custom: include, build-2024
 - Read the [When to use Azure OpenAI fine-tuning guide](../concepts/fine-tuning-considerations.md).
 
 - An Azure subscription - <a href="https://azure.microsoft.com/free/cognitive-services" target="_blank">Create one for free</a>.
-- An [Azure AI hub resource](../../../ai-foundry/how-to/create-azure-ai-resource.md).
 - An [Azure AI project](../../../ai-foundry/how-to/create-projects.md) in Azure AI Foundry portal.
 - An [Azure OpenAI connection](/azure/ai-foundry/how-to/connections-add?tabs=azure-openai#connection-details) to a resource in a [region where fine-tuning is supported](/azure/ai-services/openai/concepts/models#fine-tuning-models).
     > [!NOTE]
@@ -32,6 +31,8 @@ The following models support fine-tuning:
 - `gpt-35-turbo` (0125)
 - `gpt-4o` (2024-08-06)
 - `gpt-4o-mini` (2024-07-18)
+- `gpt-4.1` (2024-04-14)
+- `gpt-4.1-mini`(2025-04-14)
 
 Or you can fine tune a previously fine-tuned model, formatted as base-model.ft-{jobid}.
 

@@ -5,7 +5,7 @@ description: Learn how to create your own customized model with Azure OpenAI Ser
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: include
-ms.date: 02/27/2025
+ms.date: 04/30/2025
 author: mrbullwinkle
 ms.author: mbullwin
 ---
@@ -29,6 +29,8 @@ The following models support fine-tuning:
 - `gpt-35-turbo` (0125)
 - `gpt-4o` (2024-08-06)
 - `gpt-4o-mini` (2024-07-18)
+- `gpt-4.1` (2024-04-14)
+- `gpt-4.1-mini`(2025-04-14)
 
 Or you can fine tune a previously fine-tuned model, formatted as `base-model.ft-{jobid}`.
 
@@ -235,7 +237,7 @@ print(response.model_dump_json(indent=2))
 
 Azure OpenAI attaches a result file named _results.csv_ to each fine-tune job after it completes. You can use the result file to analyze the training and validation performance of your customized model. The file ID for the result file is listed for each customized model, and you can use the Python SDK to retrieve the file ID and download the result file for analysis.
 
-The following Python example retrieves the file ID of the first result file attached to the fine-tuning job for your customized model, and then uses the Python SDK to download the file to your working directory for analysis.
+The following Python example retrieves the file ID of the first result file attached to the fine-tuning job for your customized model, and then uses the Python SDK to download the file to your current working directory for analysis.
 
 ```python
 # Retrieve the file ID of the first result file from the fine-tuning job

@@ -28,6 +28,8 @@ The following models support fine-tuning:
 - `gpt-35-turbo` (0125)
 - `gpt-4o` (2024-08-06)
 - `gpt-4o-mini` (2024-07-18)
+- `gpt-4.1` (2024-04-14)
+- `gpt-4.1-mini`(2025-04-14)
 
 Or you can fine tune a previously fine-tuned model, formatted as base-model.ft-{jobid}.
 

@@ -26,6 +26,8 @@ The following models support fine-tuning:
 - `gpt-35-turbo` (0125)
 - `gpt-4o` (2024-08-06)
 - `gpt-4o-mini` (2024-07-18)
+- `gpt-4.1` (2024-04-14)
+- `gpt-4.1-mini`(2025-04-14)
 
 Or you can fine tune a previously fine-tuned model, formatted as base-model.ft-{jobid}.
 

@@ -23,6 +23,6 @@ If you are only fine-tuning Azure OpenAI models, we recommend the Azure OpenAI c
 
 # [Hub/Project](#tab/hub)
 
-[!INCLUDE [Azure AI Foundry Hub/Project fine-tuning](../includes/fine-tuning-openai-in-ai-studio.md)]
+[!INCLUDE [Azure AI Foundry project fine-tuning](../includes/fine-tuning-openai-in-ai-studio.md)]
 
 ---

@@ -18,7 +18,7 @@ Use this article to get started using [Azure AI Foundry](https://ai.azure.com) t
 - An Azure subscription. <a href="https://azure.microsoft.com/free/ai-services" target="_blank">Create one for free</a>.
 - Once you have your Azure subscription, <a href="/azure/ai-services/openai/how-to/create-resource?pivots=web-portal"  title="Create an Azure OpenAI resource."  target="_blank">create an Azure OpenAI resource </a>.
  For more information about resource creation, see the [resource deployment guide](/azure/ai-services/openai/how-to/create-resource).
-- An [Azure AI Foundry hub](/azure/ai-foundry/how-to/create-azure-ai-resource) with your Azure OpenAI resource added as a connection. 
+- An [Azure AI Foundry project](/azure/ai-foundry/how-to/create-projects) with your Azure OpenAI resource added as a connection. 
 
 ## Prepare your media
 
@@ -29,7 +29,7 @@ You need an image to complete this quickstart. You can use this sample image or
 ## Go to Azure AI Foundry
 
 1. Browse to [Azure AI Foundry](https://ai.azure.com/) and sign in with the credentials associated with your Azure OpenAI resource. During or after the sign-in workflow, select the appropriate directory, Azure subscription, and Azure OpenAI resource.
-1. Select the hub you'd like to work in.
+1. Select the project you'd like to work in.
 1. On the left nav menu, select **Models + endpoints** and select **+ Deploy model**.
 1. Choose an image-capable deployment by selecting model name: **gpt-4o** or **gpt-4o-mini**. In the window that appears, select a name and deployment type. Make sure your Azure OpenAI resource is connected. For more information about model deployment, see the [resource deployment guide](/azure/ai-services/openai/how-to/create-resource).
 1. Select **Deploy**.

@@ -5,7 +5,7 @@ description: Learn how to use Azure OpenAI's REST API. In this article, you lear
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: conceptual
-ms.date: 01/29/2025
+ms.date: 04/30/2025
 author: mrbullwinkle 
 ms.author: mbullwin
 recommendations: false