fixes

Author: msakande

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

@@ -35,7 +35,7 @@ Models sold directly by Azure include all Azure OpenAI models and specific, sele
 
 ### Azure OpenAI
 
-[!INCLUDE [azure-open-ai-models-list](../../openai/includes/azure-open-ai-models-list.md)]
+[!INCLUDE [azure-open-ai-models-list](../../openai/includes/azure-openai-models-list.md)]
 
 See [this model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?selectedCollection=OpenAI).
 
@@ -75,8 +75,8 @@ Meta Llama models and tools are a collection of pretrained and fine-tuned genera
 
 | Model  | Type | Capabilities | Deployment type (region availability) | Project type |
 | ------ | ---- | ------------ | ------------------------------------- | ------------ |
-| [Llama-4-Maverick-17B-128E-Instruct-FP8](https://ai.azure.com/explore/models/Llama-4-Maverick-17B-128E-Instruct-FP8/version/1/registry/azureml-meta) | chat-completion | - **Input:** text and images (1M tokens) <br /> - **Output:** text (1M tokens) <br /> - **Languages:** `ar`, `en`, `fr`, `de`, `hi`, `id`, `it`, `pt`, `es`, `tl`, `th`, and `vi` <br />  - **Tool calling:** No* <br /> - **Response formats:** Text | - Global standard (all regions) | Foundry, Hub-based |
-| [Llama-3.3-70B-Instruct](https://ai.azure.com/explore/models/Llama-3.3-70B-Instruct/version/4/registry/azureml-meta) | chat-completion | - **Input:** text (128,000 tokens) <br /> - **Output:** text (8,192 tokens) <br /> - **Languages:** `en`, `de`, `fr`, `it`, `pt`, `hi`, `es`, and `th` <br />  - **Tool calling:** No* <br /> - **Response formats:** Text | - Global standard (all regions) | Foundry, Hub-based |
+| [Llama-4-Maverick-17B-128E-Instruct-FP8](https://ai.azure.com/explore/models/Llama-4-Maverick-17B-128E-Instruct-FP8/version/1/registry/azureml-meta) | chat-completion | - **Input:** text and images (1M tokens) <br /> - **Output:** text (1M tokens) <br /> - **Languages:** `ar`, `en`, `fr`, `de`, `hi`, `id`, `it`, `pt`, `es`, `tl`, `th`, and `vi` <br />  - **Tool calling:** No <br /> - **Response formats:** Text | - Global standard (all regions) | Foundry, Hub-based |
+| [Llama-3.3-70B-Instruct](https://ai.azure.com/explore/models/Llama-3.3-70B-Instruct/version/4/registry/azureml-meta) | chat-completion | - **Input:** text (128,000 tokens) <br /> - **Output:** text (8,192 tokens) <br /> - **Languages:** `en`, `de`, `fr`, `it`, `pt`, `hi`, `es`, and `th` <br />  - **Tool calling:** No <br /> - **Response formats:** Text | - Global standard (all regions) | Foundry, Hub-based |
 
 See [this model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=Meta). You can also find several Meta models available [from partners and community](#meta).
 
@@ -94,7 +94,7 @@ See [the Microsoft model collection in Azure AI Foundry portal](https://ai.azure
 
 | Model  | Type | Capabilities | Deployment type (region availability) | Project type |
 | ------ | ---- | ------------ | ------------------------------------- | ------------ |
-| [mistral-document-ai-2505](https://ai.azure.com/explore/models/mistral-document-ai-2505/version/1/registry/azureml-mistral) | Image-to-Text | - **Input:** image or PDF pages ( 30 pages, max 30MB PDF file) <br /> - **Output:** text  <br /> - **Languages:** en <br />  - **Tool calling:** no  <br /> - **Response formats:** Text, JSON, Markdown  |- Global standard (all regions) <br> - Data zone standard (US)  | Foundry |
+| [mistral-document-ai-2505](https://ai.azure.com/explore/models/mistral-document-ai-2505/version/1/registry/azureml-mistral) | Image-to-Text | - **Input:** image or PDF pages (30 pages, max 30MB PDF file) <br /> - **Output:** text  <br /> - **Languages:** en <br />  - **Tool calling:** no  <br /> - **Response formats:** Text, JSON, Markdown  |- Global standard (all regions) <br> - Data zone standard (US)  | Foundry |
 
 See [the Mistral model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=Mistral+AI).  You can also find several Mistral models available [from partners and community](#mistral-ai).
 
@@ -109,8 +109,8 @@ On the other hand, Grok 3 Mini is a lightweight reasoning model trained to tackl
 
 | Model  | Type | Capabilities | Deployment type (region availability) | Project type |
 | ------ | ---- | ------------ | ------------------------------------- | ------------ |
-| [grok-3](https://ai.azure.com/explore/models/grok-3/version/1/registry/azureml-xai)<sup>1</sup> | chat-completion | - **Input:** text (131,072 tokens) <br /> - **Output:** text (131,072 tokens) <br /> - **Languages:** `en` <br />  - **Tool calling:** yes <br /> - **Response formats:** text |- Global standard (all regions) <br> - Data zone standard (US) | Foundry, Hub-based |
-| [grok-3-mini](https://ai.azure.com/explore/models/grok-3-mini/version/1/registry/azureml-xai)<sup>1</sup> | chat-completion | - **Input:** text (131,072 tokens) <br /> - **Output:** text (131,072 tokens) <br /> - **Languages:** `en` <br />  - **Tool calling:** yes <br /> - **Response formats:** text | - Global standard (all regions) <br> - Data zone standard (US) | Foundry, Hub-based |
+| [grok-3](https://ai.azure.com/explore/models/grok-3/version/1/registry/azureml-xai) | chat-completion | - **Input:** text (131,072 tokens) <br /> - **Output:** text (131,072 tokens) <br /> - **Languages:** `en` <br />  - **Tool calling:** yes <br /> - **Response formats:** text |- Global standard (all regions) <br> - Data zone standard (US) | Foundry, Hub-based |
+| [grok-3-mini](https://ai.azure.com/explore/models/grok-3-mini/version/1/registry/azureml-xai) | chat-completion | - **Input:** text (131,072 tokens) <br /> - **Output:** text (131,072 tokens) <br /> - **Languages:** `en` <br />  - **Tool calling:** yes <br /> - **Response formats:** text | - Global standard (all regions) <br> - Data zone standard (US) | Foundry, Hub-based |
 
 See [the xAI model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=xAI).
 
@@ -163,10 +163,10 @@ Meta Llama models and tools are a collection of pretrained and fine-tuned genera
 
 | Model  | Type | Capabilities | Project type |
 | ------ | ---- | ------------ | ------------ |
-| [Llama-3.2-11B-Vision-Instruct](https://ai.azure.com/explore/models/Llama-3.2-11B-Vision-Instruct/version/1/registry/azureml-meta) | chat-completion | - **Input:** text and image (128,000 tokens) <br /> - **Output:**  (8,192 tokens) <br /> - **Languages:** `en` <br />  - **Tool calling:** No* <br /> - **Response formats:** Text | Foundry, Hub-based |
-| [Llama-3.2-90B-Vision-Instruct](https://ai.azure.com/explore/models/Llama-3.2-90B-Vision-Instruct/version/1/registry/azureml-meta) | chat-completion | - **Input:** text and image (128,000 tokens) <br /> - **Output:**  (8,192 tokens) <br /> - **Languages:** `en` <br />  - **Tool calling:** No* <br /> - **Response formats:** Text | Foundry, Hub-based |
-| [Meta-Llama-3.1-405B-Instruct](https://ai.azure.com/explore/models/Meta-Llama-3.1-405B-Instruct/version/1/registry/azureml-meta) | chat-completion | - **Input:** text (131,072 tokens) <br /> - **Output:**  (8,192 tokens) <br /> - **Languages:** `en`, `de`, `fr`, `it`, `pt`, `hi`, `es`, and `th` <br />  - **Tool calling:** No* <br /> - **Response formats:** Text | Foundry, Hub-based |
-| [Meta-Llama-3.1-8B-Instruct](https://ai.azure.com/explore/models/Meta-Llama-3.1-8B-Instruct/version/4/registry/azureml-meta) | chat-completion | - **Input:** text (131,072 tokens) <br /> - **Output:**  (8,192 tokens) <br /> - **Languages:** `en`, `de`, `fr`, `it`, `pt`, `hi`, `es`, and `th` <br />  - **Tool calling:** No* <br /> - **Response formats:** Text | Foundry, Hub-based |
+| [Llama-3.2-11B-Vision-Instruct](https://ai.azure.com/explore/models/Llama-3.2-11B-Vision-Instruct/version/1/registry/azureml-meta) | chat-completion | - **Input:** text and image (128,000 tokens) <br /> - **Output:**  (8,192 tokens) <br /> - **Languages:** `en` <br />  - **Tool calling:** No <br /> - **Response formats:** Text | Foundry, Hub-based |
+| [Llama-3.2-90B-Vision-Instruct](https://ai.azure.com/explore/models/Llama-3.2-90B-Vision-Instruct/version/1/registry/azureml-meta) | chat-completion | - **Input:** text and image (128,000 tokens) <br /> - **Output:**  (8,192 tokens) <br /> - **Languages:** `en` <br />  - **Tool calling:** No <br /> - **Response formats:** Text | Foundry, Hub-based |
+| [Meta-Llama-3.1-405B-Instruct](https://ai.azure.com/explore/models/Meta-Llama-3.1-405B-Instruct/version/1/registry/azureml-meta) | chat-completion | - **Input:** text (131,072 tokens) <br /> - **Output:**  (8,192 tokens) <br /> - **Languages:** `en`, `de`, `fr`, `it`, `pt`, `hi`, `es`, and `th` <br />  - **Tool calling:** No <br /> - **Response formats:** Text | Foundry, Hub-based |
+| [Meta-Llama-3.1-8B-Instruct](https://ai.azure.com/explore/models/Meta-Llama-3.1-8B-Instruct/version/4/registry/azureml-meta) | chat-completion | - **Input:** text (131,072 tokens) <br /> - **Output:**  (8,192 tokens) <br /> - **Languages:** `en`, `de`, `fr`, `it`, `pt`, `hi`, `es`, and `th` <br />  - **Tool calling:** No <br /> - **Response formats:** Text | Foundry, Hub-based |
 | [Llama-4-Scout-17B-16E-Instruct](https://aka.ms/aifoundry/landing/llama-4-scout-17b-16e-instruct) | chat-completion | - **Input:** text and image (128,000 tokens) <br /> - **Output:** text (8,192 tokens) <br /> - **Tool calling:** No <br /> - **Response formats:** Text | Foundry, Hub-based |
 
 See [this model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=Meta). There are also several Meta models available as [models sold directly by Azure](#meta-models-sold-directly-by-azure).

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

@@ -18,7 +18,7 @@ ms.custom:
 
 # Azure OpenAI in Azure AI Foundry models
 
-[!INCLUDE [azure-open-ai-models-list](../includes/azure-open-ai-models-list.md)]
+[!INCLUDE [azure-open-ai-models-list](../includes/azure-openai-models-list.md)]
 
 ## GPT-5