update

Author: mrbullwinkle

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

@@ -249,9 +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** `2024-11-20`
 - `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

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 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.