diff --git a/strands-py/src/strands/models/openai_responses.py b/strands-py/src/strands/models/openai_responses.py
index 8914fb01c..f10653700 100644
--- a/strands-py/src/strands/models/openai_responses.py
+++ b/strands-py/src/strands/models/openai_responses.py
@@ -488,11 +488,9 @@ async def structured_output(
         """
         async with openai.AsyncOpenAI(**self._resolve_client_args()) as client:
             try:
-                response = await client.responses.parse(
-                    model=self.get_config()["model_id"],
-                    input=self._format_request(prompt, system_prompt=system_prompt)["input"],
-                    text_format=output_model,
-                )
+                request = self._format_request(prompt, system_prompt=system_prompt)
+                request.pop("stream", None)
+                response = await client.responses.parse(**request, text_format=output_model)
             except openai.BadRequestError as e:
                 if hasattr(e, "code") and e.code == "context_length_exceeded":
                     logger.warning(_CONTEXT_WINDOW_OVERFLOW_MSG)
diff --git a/strands-py/tests/strands/models/test_openai_responses.py b/strands-py/tests/strands/models/test_openai_responses.py
index 697508339..d80edc103 100644
--- a/strands-py/tests/strands/models/test_openai_responses.py
+++ b/strands-py/tests/strands/models/test_openai_responses.py
@@ -742,6 +742,31 @@ async def test_structured_output(openai_client, model, test_output_model_cls, al
     assert tru_result == exp_result
 
 
+@pytest.mark.asyncio
+async def test_structured_output_forwards_request_params(openai_client, model_id, test_output_model_cls, alist):
+    messages = [{"role": "user", "content": [{"text": "Generate a person"}]}]
+    model = OpenAIResponsesModel(
+        model_id=model_id,
+        params={"max_output_tokens": 100, "reasoning": {"effort": "low"}},
+    )
+
+    mock_parsed_instance = test_output_model_cls(name="John", age=30)
+    mock_response = unittest.mock.Mock(output_parsed=mock_parsed_instance)
+    openai_client.responses.parse = unittest.mock.AsyncMock(return_value=mock_response)
+
+    events = await alist(model.structured_output(test_output_model_cls, messages, system_prompt="Be precise."))
+
+    assert events[-1] == {"output": mock_parsed_instance}
+    parse_kwargs = openai_client.responses.parse.call_args.kwargs
+    assert parse_kwargs["model"] == model_id
+    assert parse_kwargs["max_output_tokens"] == 100
+    assert parse_kwargs["reasoning"] == {"effort": "low"}
+    assert parse_kwargs["instructions"] == "Be precise."
+    assert parse_kwargs["store"] is False
+    assert parse_kwargs["text_format"] is test_output_model_cls
+    assert "stream" not in parse_kwargs
+
+
 @pytest.mark.asyncio
 async def test_stream_context_overflow_exception(openai_client, model, messages):
     """Test that OpenAI context overflow errors are properly converted to ContextWindowOverflowException."""