diff --git a/quickstarts/Models.ipynb b/quickstarts/Models.ipynb
index af49ad3ca..985ad6e38 100644
--- a/quickstarts/Models.ipynb
+++ b/quickstarts/Models.ipynb
@@ -18,7 +18,7 @@
       },
       "outputs": [],
       "source": [
-        "#@title Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+        "# @title Licensed under the Apache License, Version 2.0 (the \"License\");\n",
         "# you may not use this file except in compliance with the License.\n",
         "# You may obtain a copy of the License at\n",
         "#\n",
@@ -104,7 +104,8 @@
       "outputs": [],
       "source": [
         "from google.colab import userdata\n",
-        "GOOGLE_API_KEY=userdata.get('GOOGLE_API_KEY')\n",
+        "\n",
+        "GOOGLE_API_KEY = userdata.get(\"GOOGLE_API_KEY\")\n",
         "genai.configure(api_key=GOOGLE_API_KEY)"
       ]
     },
@@ -128,8 +129,8 @@
       "outputs": [],
       "source": [
         "for m in genai.list_models():\n",
-        "  if 'generateContent' in m.supported_generation_methods:\n",
-        "    print(m.name)"
+        "    if \"generateContent\" in m.supported_generation_methods:\n",
+        "        print(m.name)"
       ]
     },
     {
@@ -150,8 +151,8 @@
       "outputs": [],
       "source": [
         "for m in genai.list_models():\n",
-        "  if 'embedContent' in m.supported_generation_methods:\n",
-        "    print(m.name)"
+        "    if \"embedContent\" in m.supported_generation_methods:\n",
+        "        print(m.name)"
       ]
     },
     {
@@ -174,8 +175,31 @@
       "outputs": [],
       "source": [
         "for m in genai.list_models():\n",
-        "  if m.name == 'models/gemini-1.5-pro-latest':\n",
-        "    print(m)"
+        "    if m.name == \"models/gemini-1.5-pro-latest\":\n",
+        "        print(m)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "00a56cb21953"
+      },
+      "source": [
+        "## Get model\n",
+        "\n",
+        "Use `get_model()` to retrieve the specific details of a model. You can iterate over all available models using `list_models()`, but if you already know the model name you can retrieve it directly with `get_model()`."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "6786759016dc"
+      },
+      "outputs": [],
+      "source": [
+        "model_info = genai.get_model(\"models/aqa\")\n",
+        "print(model_info)"
       ]
     },
     {