diff --git a/src/openai/lib/_parsing/_responses.py b/src/openai/lib/_parsing/_responses.py
index 8853a0749f..9a2914dcc0 100644
--- a/src/openai/lib/_parsing/_responses.py
+++ b/src/openai/lib/_parsing/_responses.py
@@ -58,7 +58,7 @@ def parse_response(
 ) -> ParsedResponse[TextFormatT]:
     output_list: List[ParsedResponseOutputItem[TextFormatT]] = []
 
-    for output in response.output:
+    for output in (response.output or []):
         if output.type == "message":
             content_list: List[ParsedContent[TextFormatT]] = []
             for item in output.content:
diff --git a/src/openai/lib/streaming/responses/_responses.py b/src/openai/lib/streaming/responses/_responses.py
index 6975a9260d..2e691776b1 100644
--- a/src/openai/lib/streaming/responses/_responses.py
+++ b/src/openai/lib/streaming/responses/_responses.py
@@ -357,9 +357,12 @@ def accumulate_event(self, event: RawResponseStreamEvent) -> ParsedResponseSnaps
             if output.type == "function_call":
                 output.arguments += event.delta
         elif event.type == "response.completed":
+            completed_response = event.response
+            if completed_response.output is None and snapshot.output is not None:  # pyright: ignore[reportUnnecessaryComparison]
+                completed_response = completed_response.model_copy(update={"output": snapshot.output})
             self._completed_response = parse_response(
                 text_format=self._text_format,
-                response=event.response,
+                response=completed_response,
                 input_tools=self._input_tools,
             )
 
diff --git a/tests/lib/responses/test_null_output.py b/tests/lib/responses/test_null_output.py
new file mode 100644
index 0000000000..0054c1f9d2
--- /dev/null
+++ b/tests/lib/responses/test_null_output.py
@@ -0,0 +1,113 @@
+from __future__ import annotations
+
+from openai._types import omit as _omit
+from openai._models import construct_type_unchecked
+from openai.types.responses import Response
+from openai.lib._parsing._responses import parse_response
+from openai.lib.streaming.responses._responses import ResponseStreamState
+from openai.types.responses.response_stream_event import (
+    ResponseCreatedEvent,
+    ResponseCompletedEvent,
+    ResponseOutputItemAddedEvent,
+)
+
+
+def _make_response(**overrides: object) -> Response:
+    base = {
+        "id": "resp_1",
+        "object": "response",
+        "created_at": 1700000000.0,
+        "model": "gpt-5.2",
+        "output": [],
+        "status": "completed",
+        "parallel_tool_calls": True,
+        "tool_choice": "auto",
+        "tools": [],
+        "text": {"format": {"type": "text"}},
+        "truncation": "disabled",
+    }
+    base.update(overrides)
+    return construct_type_unchecked(type_=Response, value=base)
+
+
+class TestParseResponseNullOutput:
+    def test_null_output_does_not_crash(self) -> None:
+        response = _make_response(output=None)
+        # Force output to None (bypassing Pydantic validation)
+        object.__setattr__(response, "output", None)
+
+        parsed = parse_response(
+            text_format=_omit,
+            input_tools=None,
+            response=response,
+        )
+        assert parsed.output == []
+
+    def test_empty_output_returns_empty(self) -> None:
+        response = _make_response(output=[])
+        parsed = parse_response(
+            text_format=_omit,
+            input_tools=None,
+            response=response,
+        )
+        assert parsed.output == []
+
+
+class TestStreamAccumulatorSnapshotFallback:
+    def test_snapshot_fallback_when_completed_output_is_null(self) -> None:
+        state = ResponseStreamState(text_format=_omit, input_tools=[])
+
+        created_response = _make_response(output=[])
+        created_event = construct_type_unchecked(
+            type_=ResponseCreatedEvent,
+            value={
+                "type": "response.created",
+                "response": created_response.to_dict(),
+                "sequence_number": 0,
+            },
+        )
+        state.handle_event(created_event)
+
+        message_item = {
+            "id": "msg_1",
+            "type": "message",
+            "status": "completed",
+            "role": "assistant",
+            "content": [
+                {
+                    "type": "output_text",
+                    "text": "Hello world",
+                    "annotations": [],
+                }
+            ],
+        }
+        added_event = construct_type_unchecked(
+            type_=ResponseOutputItemAddedEvent,
+            value={
+                "type": "response.output_item.added",
+                "output_index": 0,
+                "item": message_item,
+                "sequence_number": 1,
+            },
+        )
+        state.handle_event(added_event)
+
+        completed_response_dict = created_response.to_dict()
+        completed_response_dict["output"] = None
+        completed_response_dict["status"] = "completed"
+
+        completed_event = construct_type_unchecked(
+            type_=ResponseCompletedEvent,
+            value={
+                "type": "response.completed",
+                "response": completed_response_dict,
+                "sequence_number": 2,
+            },
+        )
+        object.__setattr__(completed_event.response, "output", None)
+
+        state.handle_event(completed_event)
+
+        assert state._completed_response is not None
+        assert len(state._completed_response.output) == 1
+        assert state._completed_response.output[0].type == "message"