diff --git a/python/sglang/srt/entrypoints/openai/serving_chat.py b/python/sglang/srt/entrypoints/openai/serving_chat.py
index f85db58a0..627d116b6 100644
--- a/python/sglang/srt/entrypoints/openai/serving_chat.py
+++ b/python/sglang/srt/entrypoints/openai/serving_chat.py
@@ -649,7 +649,7 @@ class OpenAIServingChat(OpenAIServingBase):
 
         # State tracking for streaming
         is_firsts = {}
-        stream_buffers = {}
+        stream_offsets = {}
         n_prev_tokens = {}
         has_tool_calls = {}
         finish_reasons = {}
@@ -737,13 +737,13 @@ class OpenAIServingChat(OpenAIServingBase):
                     yield f"data: {chunk.model_dump_json()}\n\n"
                     stream_started = True
 
-                stream_buffer = stream_buffers.get(index, "")
+                offset = stream_offsets.get(index, 0)
                 if self.tokenizer_manager.server_args.incremental_streaming_output:
                     # content["text"] is already the incremental delta
                     delta = content["text"]
                 else:
-                    delta = content["text"][len(stream_buffer) :]
-                stream_buffers[index] = stream_buffer + delta
+                    delta = content["text"][offset:]
+                stream_offsets[index] = len(content["text"])
 
                 # Handle reasoning content
                 if self.reasoning_parser and request.separate_reasoning:
diff --git a/python/sglang/srt/entrypoints/openai/serving_completions.py b/python/sglang/srt/entrypoints/openai/serving_completions.py
index 102451f63..2e963f330 100644
--- a/python/sglang/srt/entrypoints/openai/serving_completions.py
+++ b/python/sglang/srt/entrypoints/openai/serving_completions.py
@@ -214,7 +214,7 @@ class OpenAIServingCompletion(OpenAIServingBase):
         created = int(time.time())
 
         # State tracking for streaming
-        stream_buffers = {}
+        stream_offsets = {}
         n_prev_tokens = {}
 
         # Usage tracking
@@ -249,9 +249,10 @@ class OpenAIServingCompletion(OpenAIServingBase):
                 hidden_states[index] = content["meta_info"].get("hidden_states", None)
                 routed_experts[index] = content["meta_info"].get("routed_experts", None)
 
-                stream_buffer = stream_buffers.get(index, "")
+                is_first_chunk = index not in stream_offsets
+                offset = stream_offsets.get(index, 0)
                 # Handle echo for first chunk
-                if not stream_buffer:  # The first chunk
+                if is_first_chunk:  # The first chunk
                     if request.echo:
                         echo_text = self._get_echo_text(request, index)
                         text = echo_text + text
@@ -260,7 +261,7 @@ class OpenAIServingCompletion(OpenAIServingBase):
                 logprobs = None
                 if request.logprobs is not None:
                     # The first chunk and echo is enabled.
-                    if not stream_buffer and request.echo:
+                    if is_first_chunk and request.echo:
                         input_token_logprobs = content["meta_info"][
                             "input_token_logprobs"
                         ]
@@ -301,8 +302,8 @@ class OpenAIServingCompletion(OpenAIServingBase):
                     n_prev_tokens[index] = total_output_logprobs
 
                 # Generate delta
-                delta = text[len(stream_buffer) :]
-                stream_buffers[index] = stream_buffer + delta
+                delta = text[offset:]
+                stream_offsets[index] = len(content["text"])
                 finish_reason = content["meta_info"].get("finish_reason", None)
                 finish_reason_type = finish_reason["type"] if finish_reason else None