diff --git a/scenarios/langchain/getting-started-with-langchain-chat-models.ipynb b/scenarios/langchain/getting-started-with-langchain-chat-models.ipynb
index 08192148..92bb8954 100644
--- a/scenarios/langchain/getting-started-with-langchain-chat-models.ipynb
+++ b/scenarios/langchain/getting-started-with-langchain-chat-models.ipynb
@@ -26,7 +26,7 @@
     "\n",
     "    1. Create an [Azure subscription](https://azure.microsoft.com).\n",
     "    2. Create an Azure AI hub resource as explained at [How to create and manage an Azure AI Studio hub](https://learn.microsoft.com/en-us/azure/ai-studio/how-to/create-azure-ai-resource).\n",
-    "    3. Deploy one model supporting the [Azure AI model inference API](https://aka.ms/azureai/modelinference). In this example we use a `Mistral-Large-2411` and a `Mistral-Small` deployment. \n",
+    "    3. Deploy one model supporting the [Azure AI model inference API](https://aka.ms/azureai/modelinference). In this example we use a `Mistral-Large-3` and a `mistral-small-2503` deployment. \n",
     "\n",
     "        * You can follow the instructions at [Add and configure models to Azure AI model inference service](https://learn.microsoft.com/azure/ai-studio/ai-services/how-to/create-model-deployments)."
    ]
@@ -65,7 +65,7 @@
     "model = AzureAIChatCompletionsModel(\n",
     "    endpoint=os.environ[\"AZURE_INFERENCE_ENDPOINT\"],\n",
     "    credential=os.environ[\"AZURE_INFERENCE_CREDENTIAL\"],\n",
-    "    model=\"Mistral-Large-2411\",\n",
+    "    model=\"Mistral-Large-3\",\n",
     ")"
    ]
   },
@@ -195,7 +195,7 @@
     "producer = AzureAIChatCompletionsModel(\n",
     "    endpoint=os.environ[\"AZURE_INFERENCE_ENDPOINT\"],\n",
     "    credential=os.environ[\"AZURE_INFERENCE_CREDENTIAL\"],\n",
-    "    model=\"Mistral-Large-2411\",\n",
+    "    model=\"Mistral-Large-3\",\n",
     ")\n",
     "\n",
     "verifier = AzureAIChatCompletionsModel(\n",
@@ -394,7 +394,7 @@
     "model = AzureAIChatCompletionsModel(\n",
     "    endpoint=os.environ[\"AZURE_INFERENCE_ENDPOINT\"],\n",
     "    credential=os.environ[\"AZURE_INFERENCE_CREDENTIAL\"],\n",
-    "    model=\"Mistral-Large-2411\",\n",
+    "    model=\"Mistral-Large-3\",\n",
     "    client_kwargs={\"logging_enable\": True},\n",
     ")"
    ]