diff --git a/src/backend/base/langflow/components/models/openai.py b/src/backend/base/langflow/components/models/openai.py
index 60f960a73..932bbf489 100644
--- a/src/backend/base/langflow/components/models/openai.py
+++ b/src/backend/base/langflow/components/models/openai.py
@@ -1,6 +1,3 @@
-import operator
-from functools import reduce
-
 from langchain_openai import ChatOpenAI
 from pydantic.v1 import SecretStr
 
@@ -9,7 +6,6 @@ from langflow.base.models.openai_constants import OPENAI_MODEL_NAMES
 from langflow.field_typing import LanguageModel
 from langflow.field_typing.range_spec import RangeSpec
 from langflow.inputs import BoolInput, DictInput, DropdownInput, IntInput, SecretStrInput, SliderInput, StrInput
-from langflow.inputs.inputs import HandleInput
 
 
 class OpenAIModelComponent(LCModelComponent):
@@ -39,15 +35,6 @@ class OpenAIModelComponent(LCModelComponent):
             advanced=True,
             info="If True, it will output JSON regardless of passing a schema.",
         ),
-        DictInput(
-            name="output_schema",
-            is_list=True,
-            display_name="Schema",
-            advanced=True,
-            info="The schema for the Output of the model. "
-            "You must pass the word JSON in the prompt. "
-            "If left blank, JSON mode will be disabled. [DEPRECATED]",
-        ),
         DropdownInput(
             name="model_name",
             display_name="Model Name",
@@ -80,26 +67,16 @@ class OpenAIModelComponent(LCModelComponent):
             advanced=True,
             value=1,
         ),
-        HandleInput(
-            name="output_parser",
-            display_name="Output Parser",
-            info="The parser to use to parse the output of the model",
-            advanced=True,
-            input_types=["OutputParser"],
-        ),
     ]
 
     def build_model(self) -> LanguageModel:  # type: ignore[type-var]
-        # self.output_schema is a list of dictionaries
-        # let's convert it to a dictionary
-        output_schema_dict: dict[str, str] = reduce(operator.ior, self.output_schema or {}, {})
         openai_api_key = self.api_key
         temperature = self.temperature
         model_name: str = self.model_name
         max_tokens = self.max_tokens
         model_kwargs = self.model_kwargs or {}
         openai_api_base = self.openai_api_base or "https://api.openai.com/v1"
-        json_mode = bool(output_schema_dict) or self.json_mode
+        json_mode = self.json_mode
         seed = self.seed
 
         api_key = SecretStr(openai_api_key).get_secret_value() if openai_api_key else None
@@ -113,10 +90,7 @@ class OpenAIModelComponent(LCModelComponent):
             seed=seed,
         )
         if json_mode:
-            if output_schema_dict:
-                output = output.with_structured_output(schema=output_schema_dict, method="json_mode")
-            else:
-                output = output.bind(response_format={"type": "json_object"})
+            output = output.bind(response_format={"type": "json_object"})
 
         return output