diff --git a/langchain/llms/openai.py b/langchain/llms/openai.py
index adc0c55e..cce51bc4 100644
--- a/langchain/llms/openai.py
+++ b/langchain/llms/openai.py
@@ -362,9 +362,8 @@ class BaseOpenAI(BaseLLM, BaseModel):
                     for choice in sub_choices
                 ]
             )
-        return LLMResult(
-            generations=generations, llm_output={"token_usage": token_usage}
-        )
+        llm_output = {"token_usage": token_usage, "model_name": self.model_name}
+        return LLMResult(generations=generations, llm_output=llm_output)
 
     def stream(self, prompt: str, stop: Optional[List[str]] = None) -> Generator:
         """Call OpenAI with streaming flag and return the resulting generator.
@@ -643,11 +642,15 @@ class OpenAIChat(BaseLLM, BaseModel):
             )
         else:
             full_response = completion_with_retry(self, messages=messages, **params)
+            llm_output = {
+                "token_usage": full_response["usage"],
+                "model_name": self.model_name,
+            }
             return LLMResult(
                 generations=[
                     [Generation(text=full_response["choices"][0]["message"]["content"])]
                 ],
-                llm_output={"token_usage": full_response["usage"]},
+                llm_output=llm_output,
             )
 
     async def _agenerate(
@@ -679,11 +682,15 @@ class OpenAIChat(BaseLLM, BaseModel):
             full_response = await acompletion_with_retry(
                 self, messages=messages, **params
             )
+            llm_output = {
+                "token_usage": full_response["usage"],
+                "model_name": self.model_name,
+            }
             return LLMResult(
                 generations=[
                     [Generation(text=full_response["choices"][0]["message"]["content"])]
                 ],
-                llm_output={"token_usage": full_response["usage"]},
+                llm_output=llm_output,
             )
 
     @property
diff --git a/tests/integration_tests/llms/test_openai.py b/tests/integration_tests/llms/test_openai.py
index 4f80565e..1ada0ca6 100644
--- a/tests/integration_tests/llms/test_openai.py
+++ b/tests/integration_tests/llms/test_openai.py
@@ -35,6 +35,14 @@ def test_openai_extra_kwargs() -> None:
         OpenAI(foo=3, model_kwargs={"foo": 2})
 
 
+def test_openai_llm_output_contains_model_name() -> None:
+    """Test llm_output contains model_name."""
+    llm = OpenAI(max_tokens=10)
+    llm_result = llm.generate(["Hello, how are you?"])
+    assert llm_result.llm_output is not None
+    assert llm_result.llm_output["model_name"] == llm.model_name
+
+
 def test_openai_stop_valid() -> None:
     """Test openai stop logic on valid configuration."""
     query = "write an ordered list of five items"