Merge pull request #2018 from MicrosoftDocs/release-2024-openai-dec-vnext

[Azure OpenAI] [Release Branch] --> Main VNext

Author: prmerger-automator[bot]

articles/ai-services/openai/concepts/models.md

@@ -4,7 +4,7 @@ titleSuffix: Azure OpenAI
 description: Learn about the different model capabilities that are available with Azure OpenAI.
 ms.service: azure-ai-openai
 ms.topic: conceptual
-ms.date: 12/05/2024
+ms.date: 12/16/2024
 ms.custom: references_regions, build-2023, build-2023-dataai, refefences_regions
 manager: nitinme
 author: mrbullwinkle #ChrisHMSFT
@@ -249,8 +249,9 @@ You need to [create](../how-to/create-resource.md) or use an existing resource i
 
 When your resource is created, you can [deploy](../how-to/create-resource.md#deploy-a-model) 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` **Version** `2024-05-13`
 - `gpt-4o-mini` **Version** `2024-07-18`
 
 ### GPT-4 Turbo
@@ -277,7 +278,8 @@ See [model versions](../concepts/model-versions.md) to learn about how Azure Ope
 
 |  Model ID  | Description | Max Request (tokens) | Training Data (up to)  |
 |  --- |  :--- |:--- |:---: |
-|`gpt-4o` (2024-08-06) <br> **GPT-4o (Omni)** | **Latest large GA model** <br> - Structured outputs<br> - Text, image processing <br> - JSON Mode <br> - parallel function calling <br> - Enhanced accuracy and responsiveness <br> - Parity with English text and coding tasks compared to GPT-4 Turbo with Vision <br> - Superior performance in non-English languages and in vision tasks |Input: 128,000  <br> Output: 16,384 | Oct 2023 |
+| `gpt-4o` (2024-11-20) <br> **GPT-4o (Omni)**  | **Latest large GA model** <br> - Structured outputs<br> - Text, image processing <br> - JSON Mode <br> - parallel function calling <br> - Enhanced accuracy and responsiveness <br> - Parity with English text and coding tasks compared to GPT-4 Turbo with Vision <br> - Superior performance in non-English languages and in vision tasks. <br> - **Enhanced creative writing ability** | Input: 128,000  <br> Output: 16,384 | Oct 2023 |
+|`gpt-4o` (2024-08-06) <br> **GPT-4o (Omni)** | - Structured outputs<br> - Text, image processing <br> - JSON Mode <br> - parallel function calling <br> - Enhanced accuracy and responsiveness <br> - Parity with English text and coding tasks compared to GPT-4 Turbo with Vision <br> - Superior performance in non-English languages and in vision tasks |Input: 128,000  <br> Output: 16,384 | Oct 2023 |
 |`gpt-4o-mini` (2024-07-18) <br> **GPT-4o mini** | **Latest small GA model** <br> - Fast, inexpensive, capable model ideal for replacing GPT-3.5 Turbo series models. <br> - Text, image processing <br>- JSON Mode <br> - parallel function calling | Input: 128,000 <br> Output: 16,384  | Oct 2023 |
 |`gpt-4o` (2024-05-13) <br> **GPT-4o (Omni)** | Text, image processing <br> - JSON Mode <br> - parallel function calling <br> - Enhanced accuracy and responsiveness <br> - Parity with English text and coding tasks compared to GPT-4 Turbo with Vision <br> - Superior performance in non-English languages and in vision tasks |Input: 128,000  <br> Output: 4,096| Oct 2023 |
 | `gpt-4` (turbo-2024-04-09) <br>**GPT-4 Turbo with Vision** | **New GA model** <br> - Replacement for all previous GPT-4 preview models (`vision-preview`, `1106-Preview`, `0125-Preview`). <br> - [**Feature availability**](#gpt-4o-and-gpt-4-turbo) is currently different depending on method of input, and deployment type. | Input: 128,000  <br> Output: 4,096  | Dec 2023 |

articles/ai-services/openai/whats-new.md

@@ -11,7 +11,7 @@ ms.custom:
   - references_regions
   - ignite-2024
 ms.topic: whats-new
-ms.date: 11/12/2024
+ms.date: 11/16/2024
 recommendations: false
 ---
 
@@ -21,6 +21,18 @@ This article provides a summary of the latest releases and major documentation u
 
 ## December 2024
 
+### GPT-4o 2024-11-20
+
+`gpt-4o-2024-11-20` is now available for [global standard deployment](./how-to/deployment-types.md) in:
+
+- East US
+- East US 2
+- North Central US
+- South Central US
+- West US
+- West US 3
+- Sweden Central
+
 ### NEW data zone provisioned deployment type
 
 Data zone provisioned deployments are available in the same Azure OpenAI resource as all other Azure OpenAI deployment types but allow you to leverage Azure global infrastructure to dynamically route traffic to the data center within the Microsoft defined data zone with the best availability for each request. Data zone provisioned deployments provide reserved model processing capacity for high and predictable throughput using Azure infrastructure within Microsoft specified data zones. Data zone provisioned deployments are supported on `gpt-4o-2024-08-06`, `gpt-4o-2024-05-13`, and `gpt-4o-mini-2024-07-18` models.