diff --git a/litellm/responses/litellm_completion_transformation/transformation.py b/litellm/responses/litellm_completion_transformation/transformation.py
index 4e27b756b68..7e126099391 100644
--- a/litellm/responses/litellm_completion_transformation/transformation.py
+++ b/litellm/responses/litellm_completion_transformation/transformation.py
@@ -1158,7 +1158,7 @@ class LiteLLMCompletionResponsesConfig:
             file_dict["file_data"] = item["file_data"]
 
         new_item: dict[str, Any] = {"type": "file", "file": file_dict}
-        if "cache_control" in item:
+        if item.get("cache_control") is not None:
             new_item["cache_control"] = item["cache_control"]
         return new_item
 
@@ -1180,16 +1180,15 @@ class LiteLLMCompletionResponsesConfig:
         """
         Normalize a Responses API object (Pydantic model or custom class) to a dictionary
         """
-        if hasattr(item, "model_dump"):
         if hasattr(item, "model_dump"):
             try:
                 return item.model_dump(exclude_none=True)
-            except Exception:  # noqa: BLE001  # fallback if custom model_dump does not accept exclude_none
+            except TypeError:
                 return item.model_dump()
         elif hasattr(item, "dict"):
             try:
                 return item.dict(exclude_none=True)
-            except Exception:  # noqa: BLE001  # fallback if custom dict does not accept exclude_none
+            except TypeError:
                 return item.dict()
 
         target_attrs = (
@@ -1247,7 +1246,11 @@ class LiteLLMCompletionResponsesConfig:
                     elif item.get("type") == "input_image":
                         image_block = {
                             **LiteLLMCompletionResponsesConfig._transform_input_image_item_to_image_item(item),
-                            **({"cache_control": item["cache_control"]} if "cache_control" in item else {}),
+                            **(
+                                {"cache_control": item["cache_control"]}
+                                if item.get("cache_control") is not None
+                                else {}
+                            ),
                         }
                         content_list.append(image_block)
                     else:
@@ -1260,7 +1263,11 @@ class LiteLLMCompletionResponsesConfig:
                                 item.get("type") or "text"
                             ),
                             "text": text_value,
-                            **({"cache_control": item["cache_control"]} if "cache_control" in item else {}),
+                            **(
+                                {"cache_control": item["cache_control"]}
+                                if item.get("cache_control") is not None
+                                else {}
+                            ),
                         }
                         content_list.append(content_block)
             return content_list
diff --git a/tests/test_litellm/responses/litellm_completion_transformation/test_litellm_completion_responses.py b/tests/test_litellm/responses/litellm_completion_transformation/test_litellm_completion_responses.py
index 62bc61c1a63..ae2e624ef70 100644
--- a/tests/test_litellm/responses/litellm_completion_transformation/test_litellm_completion_responses.py
+++ b/tests/test_litellm/responses/litellm_completion_transformation/test_litellm_completion_responses.py
@@ -2635,6 +2635,33 @@ class TestCacheControlPreservation:
         )
         assert messages == [{"role": "user", "content": "hello", "cache_control": {"type": "ephemeral"}}]
 
+    def test_none_cache_control_omitted_from_content_blocks(self):
+        from pydantic import BaseModel
+        from typing import Optional
+
+        class MockContentItem(BaseModel):
+            type: str = "text"
+            text: str = "hello world"
+            cache_control: Optional[dict] = None
+
+        item = MockContentItem()
+        result = LiteLLMCompletionResponsesConfig._transform_responses_api_content_to_chat_completion_content([item])
+        assert isinstance(result, list)
+        assert len(result) == 1
+        assert "cache_control" not in result[0]
+
+        dict_item = {"type": "text", "text": "hello", "cache_control": None}
+        result_dict = LiteLLMCompletionResponsesConfig._transform_responses_api_content_to_chat_completion_content([dict_item])
+        assert isinstance(result_dict, list)
+        assert len(result_dict) == 1
+        assert "cache_control" not in result_dict[0]
+
+        image_item = {"type": "input_image", "image_url": "https://example.com/a.png", "cache_control": None}
+        result_img = LiteLLMCompletionResponsesConfig._transform_responses_api_content_to_chat_completion_content([image_item])
+        assert isinstance(result_img, list)
+        assert len(result_img) == 1
+        assert "cache_control" not in result_img[0]
+
     def test_tool_call_output_as_custom_object(self):
         """Test _transform_responses_api_tool_call_output_to_chat_completion_message with a custom object."""
         class MockToolCallOutput: