diff --git a/fastdeploy/entrypoints/openai/serving_completion.py b/fastdeploy/entrypoints/openai/serving_completion.py
index 75f890c44..858eed735 100644
--- a/fastdeploy/entrypoints/openai/serving_completion.py
+++ b/fastdeploy/entrypoints/openai/serving_completion.py
@@ -205,8 +205,8 @@ class OpenAIServingCompletion:
 
             valid_results = [dict()] * num_choices
             output_tokens = [0] * num_choices
-            aggregated_top_logprobs = [[[], [], []]] * num_choices
-            aggregated_token_ids = [[]] * num_choices
+            aggregated_top_logprobs = [[[], [], []] for _ in range(num_choices)]
+            aggregated_token_ids = [[] for _ in range(num_choices)]
             completion_batched_token_ids = [[] for _ in range(num_choices)]
             current_waiting_time = 0
             while num_choices > 0:
@@ -477,7 +477,6 @@ class OpenAIServingCompletion:
         choices: List[CompletionResponseChoice] = []
         num_prompt_tokens = 0
         num_generated_tokens = 0
-        aggregated_logprobs: Optional[CompletionLogprobs] = None
 
         for idx in range(len(final_res_batch)):
             final_res = final_res_batch[idx]
@@ -489,15 +488,9 @@ class OpenAIServingCompletion:
             output = final_res["outputs"]
             output_top_logprobs = output["top_logprobs"]
 
+            aggregated_logprobs: Optional[CompletionLogprobs] = None
             if output_top_logprobs is not None:
-                logprobs_res = self._create_completion_logprobs(output_top_logprobs, request.logprobs, 0)
-                if aggregated_logprobs is None:
-                    aggregated_logprobs = logprobs_res
-                else:
-                    aggregated_logprobs.tokens.extend(logprobs_res.tokens)
-                    aggregated_logprobs.token_logprobs.extend(logprobs_res.token_logprobs)
-                    aggregated_logprobs.top_logprobs.extend(logprobs_res.top_logprobs)
-                    aggregated_logprobs.text_offset.extend(logprobs_res.text_offset)
+                aggregated_logprobs = self._create_completion_logprobs(output_top_logprobs, request.logprobs, 0)
 
             if request.echo:
                 assert prompt_text is not None