diff --git a/litellm/main.py b/litellm/main.py
index 9a1e83459..8dd9f83b9 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -423,6 +423,8 @@ def completion(
         "tools",
         "tool_choice",
         "max_retries",
+        "logprobs",
+        "top_logprobs",
     ]
     litellm_params = [
         "metadata",
@@ -572,6 +574,8 @@ def completion(
             tools=tools,
             tool_choice=tool_choice,
             max_retries=max_retries,
+            logprobs=logprobs,
+            top_logprobs=top_logprobs,
             **non_default_params,
         )
 
diff --git a/litellm/utils.py b/litellm/utils.py
index c142296fb..e5378a60d 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -240,7 +240,9 @@ class Delta(OpenAIObject):
 
 
 class Choices(OpenAIObject):
-    def __init__(self, finish_reason=None, index=0, message=None, **params):
+    def __init__(
+        self, finish_reason=None, index=0, message=None, logprobs=None, **params
+    ):
         super(Choices, self).__init__(**params)
         self.finish_reason = (
             map_finish_reason(finish_reason) or "stop"
@@ -250,6 +252,8 @@ class Choices(OpenAIObject):
             self.message = Message(content=None)
         else:
             self.message = message
+        if logprobs is not None:
+            self.logprobs = logprobs
 
     def __contains__(self, key):
         # Define custom behavior for the 'in' operator
@@ -2840,6 +2844,8 @@ def get_optional_params(  # use the openai defaults
     tools=None,
     tool_choice=None,
     max_retries=None,
+    logprobs=None,
+    top_logprobs=None,
     **kwargs,
 ):
     # retrieve all parameters passed to the function
@@ -2867,6 +2873,8 @@ def get_optional_params(  # use the openai defaults
         "tools": None,
         "tool_choice": None,
         "max_retries": None,
+        "logprobs": None,
+        "top_logprobs": None,
     }
     # filter out those parameters that were passed with non-default values
     non_default_params = {
@@ -3615,6 +3623,8 @@ def get_optional_params(  # use the openai defaults
             "tools",
             "tool_choice",
             "max_retries",
+            "logprobs",
+            "top_logprobs",
         ]
         _check_valid_arg(supported_params=supported_params)
         if functions is not None:
@@ -3651,6 +3661,10 @@ def get_optional_params(  # use the openai defaults
             optional_params["tool_choice"] = tool_choice
         if max_retries is not None:
             optional_params["max_retries"] = max_retries
+        if logprobs is not None:
+            optional_params["logprobs"] = logprobs
+        if top_logprobs is not None:
+            optional_params["top_logprobs"] = top_logprobs
         optional_params = non_default_params
     # if user passed in non-default kwargs for specific providers/models, pass them along
     for k in passed_params.keys():
@@ -4703,8 +4717,12 @@ def convert_to_model_response_object(
                 if finish_reason == None:
                     # gpt-4 vision can return 'finish_reason' or 'finish_details'
                     finish_reason = choice.get("finish_details")
+                logprobs = choice.get("logprobs", None)
                 choice = Choices(
-                    finish_reason=finish_reason, index=idx, message=message
+                    finish_reason=finish_reason,
+                    index=idx,
+                    message=message,
+                    logprobs=logprobs,
                 )
                 choice_list.append(choice)
             model_response_object.choices = choice_list