diff --git a/litellm/utils.py b/litellm/utils.py
index a10208564e..ae8425d097 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -2512,12 +2512,19 @@ def client(original_function):
                                 )
                             )
                         cached_result = await asyncio.gather(*tasks)
+                        ## check if cached result is None ##
+                        if cached_result is not None and isinstance(
+                            cached_result, list
+                        ):
+                            if len(cached_result) == 1 and cached_result[0] is None:
+                                cached_result = None
                     else:
                         preset_cache_key = litellm.cache.get_cache_key(*args, **kwargs)
                         kwargs[
                             "preset_cache_key"
                         ] = preset_cache_key  # for streaming calls, we need to pass the preset_cache_key
                         cached_result = litellm.cache.get_cache(*args, **kwargs)
+
                     if cached_result is not None and not isinstance(
                         cached_result, list
                     ):
@@ -2611,7 +2618,6 @@ def client(original_function):
                                 non_null_list.append((idx, cr))
                         original_kwargs_input = kwargs["input"]
                         kwargs["input"] = remaining_list
-
                         if len(non_null_list) > 0:
                             print_verbose(
                                 f"EMBEDDING CACHE HIT! - {len(non_null_list)}"
@@ -2628,7 +2634,6 @@ def client(original_function):
                                 idx, cr = val  # (idx, cr) tuple
                                 if cr is not None:
                                     final_embedding_cached_response.data[idx] = cr
-
                         if len(remaining_list) == 0:
                             # LOG SUCCESS
                             cache_hit = True
@@ -2769,7 +2774,8 @@ def client(original_function):
                 result._response_ms = (
                     end_time - start_time
                 ).total_seconds() * 1000  # return response latency in ms like openai
-            elif (
+
+            if (
                 isinstance(result, EmbeddingResponse)
                 and final_embedding_cached_response is not None
             ):
@@ -2783,6 +2789,10 @@ def client(original_function):
                         final_data_list.append(item)
 
                 final_embedding_cached_response.data = final_data_list
+                final_embedding_cached_response._hidden_params["cache_hit"] = True
+                final_embedding_cached_response._response_ms = (
+                    end_time - start_time
+                ).total_seconds() * 1000
                 return final_embedding_cached_response
 
             return result