Update models.md

Author: ssalgadodev

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

@@ -160,7 +160,7 @@ Meta Llama models and tools are a collection of pretrained and fine-tuned genera
 | [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](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) | - **Input:** text and image (128,000 tokens) <br /> - **Output:** text (8,192 tokens) <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](../foundry-models/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) | - **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).
 
@@ -173,8 +173,8 @@ Microsoft models include various model groups such as MAI models, Phi models, he
 | [Phi-4-mini-instruct](https://ai.azure.com/explore/models/Phi-4-mini-instruct/version/1/registry/azureml) | chat-completion | - **Input:** text (131,072 tokens) <br /> - **Output:**  (4,096 tokens) <br /> - **Languages:** `ar`, `zh`, `cs`, `da`, `nl`, `en`, `fi`, `fr`, `de`, `he`, `hu`, `it`, `ja`, `ko`, `no`, `pl`, `pt`, `ru`, `es`, `sv`, `th`, `tr`, and `uk` <br />  - **Tool calling:** No <br /> - **Response formats:** Text | Foundry, Hub-based |
 | [Phi-4-multimodal-instruct](https://ai.azure.com/explore/models/Phi-4-multimodal-instruct/version/1/registry/azureml) | chat-completion | - **Input:** text, images, and audio (131,072 tokens) <br /> - **Output:**  (4,096 tokens) <br /> - **Languages:** `ar`, `zh`, `cs`, `da`, `nl`, `en`, `fi`, `fr`, `de`, `he`, `hu`, `it`, `ja`, `ko`, `no`, `pl`, `pt`, `ru`, `es`, `sv`, `th`, `tr`, and `uk` <br />  - **Tool calling:** No <br /> - **Response formats:** Text | Foundry, Hub-based |
 | [Phi-4](https://ai.azure.com/explore/models/Phi-4/version/2/registry/azureml) | chat-completion | - **Input:** text (16,384 tokens) <br /> - **Output:**  (16,384 tokens) <br /> - **Languages:** `en`, `ar`, `bn`, `cs`, `da`, `de`, `el`, `es`, `fa`, `fi`, `fr`, `gu`, `ha`, `he`, `hi`, `hu`, `id`, `it`, `ja`, `jv`, `kn`, `ko`, `ml`, `mr`, `nl`, `no`, `or`, `pa`, `pl`, `ps`, `pt`, `ro`, `ru`, `sv`, `sw`, `ta`, `te`, `th`, `tl`, `tr`, `uk`, `ur`, `vi`, `yo`, and `zh` <br />  - **Tool calling:** No <br /> - **Response formats:** Text | Foundry, Hub-based |
-| [Phi-4-reasoning](https://aka.ms/azureai/landing/Phi-4-reasoning) | [chat-completion with reasoning content](../model-inference/how-to/use-chat-reasoning.md?context=/azure/ai-foundry/context/context) | - **Input:** text (32,768 tokens) <br /> - **Output:** text (32,768 tokens) <br /> - **Tool calling:** No <br /> - **Response formats:** Text | Foundry, Hub-based |
-| [Phi-4-mini-reasoning](https://aka.ms/azureai/landing/Phi-4-mini-reasoning) | [chat-completion with reasoning content](../model-inference/how-to/use-chat-reasoning.md?context=/azure/ai-foundry/context/context) | - **Input:** text (128,000 tokens) <br /> - **Output:** text (128,000 tokens) <br /> - **Tool calling:** No <br /> - **Response formats:** Text | Foundry, Hub-based |
+| [Phi-4-reasoning](https://aka.ms/azureai/landing/Phi-4-reasoning) | [chat-completion with reasoning content](../foundry-models/how-to/use-chat-reasoning.md?context=/azure/ai-foundry/context/context) | - **Input:** text (32,768 tokens) <br /> - **Output:** text (32,768 tokens) <br /> - **Tool calling:** No <br /> - **Response formats:** Text | Foundry, Hub-based |
+| [Phi-4-mini-reasoning](https://aka.ms/azureai/landing/Phi-4-mini-reasoning) | [chat-completion with reasoning content](../foundry-models/how-to/use-chat-reasoning.md?context=/azure/ai-foundry/context/context) | - **Input:** text (128,000 tokens) <br /> - **Output:** text (128,000 tokens) <br /> - **Tool calling:** No <br /> - **Response formats:** Text | Foundry, Hub-based |
 
 See [the Microsoft model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=phi).  There are also several Microsoft models available as [models sold directly by Azure](#microsoft-models-sold-directly-by-azure).
 
@@ -206,7 +206,7 @@ See [this model collection in Azure AI Foundry portal](https://ai.azure.com/expl
 
 ## Other Foundry Models available for serverless API deployment
 
-This section lists a selection of models available only through Serverless API deployment. For more information on these models, visit the [Azure AI Foundry Models Serverless API Inference Examples](models-featured.md) page.  
+This section lists a selection of models available only through Serverless API deployment. For more information on these models, visit the [Azure AI Foundry Models Serverless API Inference Examples](models-inference-examples.md) page.  
 
 
 | Model | Type | Offering | Capabilities | API Reference |
@@ -215,8 +215,8 @@ This section lists a selection of models available only through Serverless API d
 | [Stable Diffusion 3.5 Large](https://ai.azure.com/explore/models/Stable-Diffusion-3.5-Large/version/1/registry/azureml-stabilityai) | Image generation | Partners and Community | - **Input:** text and image (1000 tokens and 1 image)  <br /> - **Output:** 1 Image  <br />  - **Tool calling:** No <br /> - **Response formats**: Image (PNG and JPG) |
 | [Stable Image Core](https://ai.azure.com/explore/models/Stable-Image-Core/version/1/registry/azureml-stabilityai) | Image generation | Partners and Community | - **Input:** text (1000 tokens)  <br /> - **Output:** 1 Image  <br />  - **Tool calling:** No <br /> - **Response formats:** Image (PNG and JPG) |
 | [Stable Image Ultra](https://ai.azure.com/explore/models/Stable-Image-Ultra/version/1/registry/azureml-stabilityai) | Image generation | Partners and Community | - **Input:** text (1000 tokens)  <br /> - **Output:** 1 Image  <br />  - **Tool calling:** No <br /> - **Response formats:** Image (PNG and JPG) |
-| [Mistral-OCR-2503](https://aka.ms/aistudio/landing/mistral-ocr-2503) | [image to text](../how-to/use-image-models.md) | Models sold directly by Azure |  - **Input:** image or PDF pages (1,000 pages, max 50MB PDF file) <br> - **Output:** text <br /> - **Tool calling:** No <br /> - **Response formats:** Text, JSON, Markdown |
-| [Mistral-medium-2505](https://aka.ms/aistudio/landing/mistral-medium-2505) | [chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) | Models sold directly by Azure |  - **Input:** text (128,000 tokens), image <br /> - **Output:** text (128,000 tokens) <br />  - **Tool calling:** No <br /> - **Response formats:** Text, JSON |
+| [Mistral-OCR-2503](https://aka.ms/aistudio/landing/mistral-ocr-2503) | [image to text](../../how-to/use-image-models.md) | Models sold directly by Azure |  - **Input:** image or PDF pages (1,000 pages, max 50MB PDF file) <br> - **Output:** text <br /> - **Tool calling:** No <br /> - **Response formats:** Text, JSON, Markdown |
+| [Mistral-medium-2505](https://aka.ms/aistudio/landing/mistral-medium-2505) | [chat-completion](../foundry-models/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) | Models sold directly by Azure |  - **Input:** text (128,000 tokens), image <br /> - **Output:** text (128,000 tokens) <br />  - **Tool calling:** No <br /> - **Response formats:** Text, JSON |
 | [Cohere-rerank-v3.5](https://ai.azure.com/explore/models/Cohere-rerank-v3.5/version/1/registry/azureml-cohere) | rerank <br> text classification | Partners and Community | | [Cohere's v2/rerank API](https://docs.cohere.com/v2/reference/rerank) |
 | [Cohere-rerank-v3-english](https://ai.azure.com/explore/models/Cohere-rerank-v3-english/version/1/registry/azureml-cohere) <br> (deprecated) | rerank <br> text classification | Partners and Community | | [Cohere's v2/rerank API](https://docs.cohere.com/v2/reference/rerank) <br> [Cohere's v1/rerank API](https://docs.cohere.com/v1/reference/rerank) |
 | [Cohere-rerank-v3-multilingual](https://ai.azure.com/explore/models/Cohere-rerank-v3-multilingual/version/1/registry/azureml-cohere) <br> (deprecated) | rerank <br> text classification | Partners and Community | | [Cohere's v2/rerank API](https://docs.cohere.com/v2/reference/rerank) <br> [Cohere's v1/rerank API](https://docs.cohere.com/v1/reference/rerank) |