diff --git a/libs/partners/openai/langchain_openai/chat_models/base.py b/libs/partners/openai/langchain_openai/chat_models/base.py
index 5e4f016b10c..a446916d4e0 100644
--- a/libs/partners/openai/langchain_openai/chat_models/base.py
+++ b/libs/partners/openai/langchain_openai/chat_models/base.py
@@ -2330,33 +2330,6 @@ class BaseChatOpenAI(BaseChatModel):
                 # Batch API processing (50% cost savings, polling required)
                 results = llm.batch(inputs, use_batch_api=True)
         """
-        if use_batch_api:
-            # Convert inputs to messages_list format expected by batch_create
-            messages_list = []
-            for input_item in inputs:
-                if isinstance(input_item, list):
-                    # Already a list of messages
-                    messages_list.append(input_item)
-                else:
-                    # Convert single input to list of messages
-                    messages = self._convert_input_to_messages(input_item)
-                    messages_list.append(messages)
-
-            # Create batch job and poll for results
-            batch_id = self.batch_create(messages_list, **kwargs)
-            chat_results = self.batch_retrieve(batch_id)
-
-            # Convert ChatResult objects to BaseMessage objects
-            return [result.generations[0].message for result in chat_results]
-        else:
-            # Use the parent class's standard batch implementation
-            return super().batch(
-                inputs=inputs,
-                config=config,
-                return_exceptions=return_exceptions,
-                **kwargs,
-            )
-
     def _convert_input_to_messages(
         self, input_item: LanguageModelInput
     ) -> list[BaseMessage]:
diff --git a/libs/partners/openai/tests/integration_tests/chat_models/test_batch_integration.py b/libs/partners/openai/tests/integration_tests/chat_models/test_batch_integration.py
index 876567da2d6..969f7ab935a 100644
--- a/libs/partners/openai/tests/integration_tests/chat_models/test_batch_integration.py
+++ b/libs/partners/openai/tests/integration_tests/chat_models/test_batch_integration.py
@@ -74,8 +74,8 @@ class TestBatchAPIIntegration:
         )
 
         # Check that we got reasonable responses
-        response1 = results[0].generations[0].str(message.content).strip()
-        response2 = results[1].generations[0].str(message.content).strip()
+        response1 = results[0].generations[0].message.content.strip()
+        response2 = results[1].generations[0].message.content.strip()
 
         # Basic sanity checks (responses should contain expected content)
         assert "4" in response1 or "four" in response1.lower()
@@ -182,7 +182,7 @@ class TestBatchAPIIntegration:
         )
 
         assert len(results) == 1
-        result_content = results[0].generations[0].str(message.content).strip()
+        result_content = results[0].generations[0].message.content.strip()
 
         # Should contain the answer
         assert "30" in result_content or "thirty" in result_content.lower()
@@ -263,7 +263,7 @@ class TestBatchAPIIntegration:
         results = self.llm.batch_retrieve(batch_id, timeout=1800.0)
 
         assert len(results) == 1
-        result_content = results[0].generations[0].str(message.content).strip().lower()
+        result_content = results[0].generations[0].message.content.strip().lower()
         assert "test successful" in result_content
 
 
@@ -358,7 +358,7 @@ class TestBatchAPIPerformance:
 
         # Check that we got reasonable math answers
         for i, result in enumerate(results, 1):
-            content = result.generations[0].str(message.content).strip()
+            content = result.generations[0].message.content.strip()
             expected_answer = str(i + i)
             assert expected_answer in content or str(i * 2) in content