diff --git a/samples/cache.py b/samples/cache.py
index b7edc5de3..82c4c1d7d 100644
--- a/samples/cache.py
+++ b/samples/cache.py
@@ -39,6 +39,57 @@ def test_cache_create(self):
         # [END cache_create]
         cache.delete()
 
+    def test_cache_create_from_name(self):
+        # [START cache_create_from_name]
+        document = genai.upload_file(path=media / "a11.txt")
+        model_name = "gemini-1.5-flash-001"
+        cache = genai.caching.CachedContent.create(
+            model=model_name,
+            system_instruction="You are an expert analyzing transcripts.",
+            contents=[document],
+        )
+        cache_name = cache.name  # Save the name for later
+
+        # Later
+        cache = genai.caching.CachedContent.get(cache_name)
+        apollo_model = genai.GenerativeModel.from_cached_content(cache)
+        response = apollo_model.generate_content("Find a lighthearted moment from this transcript")
+        print(response.text)
+        # [END cache_create_from_name]
+        cache.delete()
+
+    def test_cache_create_from_chat(self):
+        # [START cache_create_from_chat]
+        model_name = "gemini-1.5-flash-001"
+        system_instruction = "You are an expert analyzing transcripts."
+
+        model = genai.GenerativeModel(model_name=model_name, system_instruction=system_instruction)
+        chat = model.start_chat()
+        document = genai.upload_file(path=media / "a11.txt")
+        response = chat.send_message(["Hi, could you summarize this transcript?", document])
+        print("\n\nmodel:  ", response.text)
+        response = chat.send_message(
+            ["Okay, could you tell me more about the trans-lunar injection"]
+        )
+        print("\n\nmodel:  ", response.text)
+
+        # To cache the conversation so far, pass the chat history as the list of "contents".
+        cache = genai.caching.CachedContent.create(
+            model=model_name,
+            system_instruction=system_instruction,
+            contents=chat.history,
+        )
+        model = genai.GenerativeModel.from_cached_content(cached_content=cache)
+
+        # Continue the chat where you left off.
+        chat = model.start_chat()
+        response = chat.send_message(
+            "I didn't understand that last part, could you explain it in simpler language?"
+        )
+        print("\n\nmodel:  ", response.text)
+        # [END cache_create_from_chat]
+        cache.delete()
+
     def test_cache_delete(self):
         # [START cache_delete]
         document = genai.upload_file(path=media / "a11.txt")
@@ -100,57 +151,6 @@ def test_cache_update(self):
         # [END cache_update]
         cache.delete()
 
-    def test_cache_create_from_name(self):
-        # [START cache_create_from_name]
-        document = genai.upload_file(path=media / "a11.txt")
-        model_name = "gemini-1.5-flash-001"
-        cache = genai.caching.CachedContent.create(
-            model=model_name,
-            system_instruction="You are an expert analyzing transcripts.",
-            contents=[document],
-        )
-        cache_name = cache.name  # Save the name for later
-
-        # Later
-        cache = genai.caching.CachedContent.get(cache_name)
-        apollo_model = genai.GenerativeModel.from_cached_content(cache)
-        response = apollo_model.generate_content("Find a lighthearted moment from this transcript")
-        print(response.text)
-        # [END cache_create_from_name]
-        cache.delete()
-
-    def test_cache_chat(self):
-        # [START cache_chat]
-        model_name = "gemini-1.5-flash-001"
-        system_instruction = "You are an expert analyzing transcripts."
-
-        model = genai.GenerativeModel(model_name=model_name, system_instruction=system_instruction)
-        chat = model.start_chat()
-        document = genai.upload_file(path=media / "a11.txt")
-        response = chat.send_message(["Hi, could you summarize this transcript?", document])
-        print("\n\nmodel:  ", response.text)
-        response = chat.send_message(
-            ["Okay, could you tell me more about the trans-lunar injection"]
-        )
-        print("\n\nmodel:  ", response.text)
-
-        # To cache the conversation so far, pass the chat history as the list of "contents".
-        cache = genai.caching.CachedContent.create(
-            model=model_name,
-            system_instruction=system_instruction,
-            contents=chat.history,
-        )
-        model = genai.GenerativeModel.from_cached_content(cached_content=cache)
-
-        # Continue the chat where you left off.
-        chat = model.start_chat()
-        response = chat.send_message(
-            "I didn't understand that last part, could you explain it in simpler language?"
-        )
-        print("\n\nmodel:  ", response.text)
-        # [END cache_chat]
-        cache.delete()
-
 
 if __name__ == "__main__":
     absltest.main()