model router updates

Author: mrbullwinkle

articles/ai-foundry/openai/concepts/model-router.md

@@ -5,7 +5,7 @@ description: Learn about the model router feature in Azure OpenAI in Azure AI Fo
 author: PatrickFarley
 ms.author: pafarley
 manager: nitinme
-ms.date: 05/08/2025
+ms.date: 08/06/2025
 ms.service: azure-ai-openai
 ms.topic: conceptual
 ms.custom:
@@ -30,6 +30,7 @@ If you select **Auto-update** at the deployment step (see [Manage models](/azure
 
 |Model router version|Underlying models (version)|
 |---|---|
+| `2025-08-07` | GPT-4.1 (`2025-04-14`)</br>GPT-4.1-mini (`2025-04-14`)</br>GPT-4.1-nano (`2025-04-14`) </br>o4-mini (`2025-04-16`) </br> `gpt-5` (2025-08-07) <br> `gpt-5-mini` (2025-08-07)  <br> `gpt-5-nano` (2025-08-07)  |
 |`2025-05-19`|GPT-4.1 (`2025-04-14`)</br>GPT-4.1-mini (`2025-04-14`)</br>GPT-4.1-nano (`2025-04-14`) </br>o4-mini (`2025-04-16`) |
 
 

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

@@ -138,7 +138,7 @@ A model that intelligently selects from a set of underlying chat models to respo
 
 |  Model ID  | Description | Context window | Max output tokens | Training data (up to)  |
 |  --- |  :--- |:--- |:---|:---: |
-| `model-router` (2025-08-07) | A model that intelligently selects from a set of underlying  models to respond to a given prompt. | 200,000 | 32,768 (`GPT-4.1 series`)</br> 100,000 (`o4-mini`)</br> 128,000 (`gpt-5 reasoning models`) <br> 16,000 (`gpt-5-chat`) | - |
+| `model-router` (2025-08-07) | A model that intelligently selects from a set of underlying  models to respond to a given prompt. | 200,000 | 32,768 (`GPT-4.1 series`)</br> 100,000 (`o4-mini`)</br> 128,000 (`gpt-5 reasoning models`) | - |
 | `model-router` (2025-05-19) | A model that intelligently selects from a set of underlying chat models to respond to a given prompt. | 200,000 | 32,768 (`GPT-4.1 series`)</br> 100,000 (`o4-mini`) | May 31, 2024 |
 
 Larger context windows are compatible with *some* of the underlying models. That means an API call with a larger context succeeds only if the prompt happens to be routed to the right model. Otherwise, the call fails.