diff --git a/funasr/models/fun_asr_nano/inference_vllm_streaming.py b/funasr/models/fun_asr_nano/inference_vllm_streaming.py
index 13fa1a218..e159209f7 100644
--- a/funasr/models/fun_asr_nano/inference_vllm_streaming.py
+++ b/funasr/models/fun_asr_nano/inference_vllm_streaming.py
@@ -34,7 +34,7 @@
 def _clean_text(text: str) -> str:
     """Remove tags, repetitive garbage, filler tokens, and invalid chars."""
     text = re.sub(r'<[^>]*>|</[^>]*>', '', text)
-    text = re.sub(r'(>.{2,8}?)
{3,}', '', text)
+    text = re.sub(r'(>.{2,8}?)\1{3,}', '', text)
     text = re.sub(r'\[breath\]|\[noise\]|/sil|endofbreak|FFFF', '', text)
     text = re.sub(r'\s+', ' ', text)
     text = text.replace('�', '').lstrip('>')
diff --git a/tests/test_fun_asr_nano_streaming_repetition_trim.py b/tests/test_fun_asr_nano_streaming_repetition_trim.py
new file mode 100644
index 000000000..9d7ef29e5
--- /dev/null
+++ b/tests/test_fun_asr_nano_streaming_repetition_trim.py
@@ -0,0 +1,63 @@
+"""Repetitive-garbage trimming must behave identically in both Nano runtimes.
+
+``_clean_text`` removes repeated garbage with
+``re.sub(r'(>.{2,8}?)\\1{3,}', '', text)``, which the non-streaming engine
+(``inference_vllm_pipeline.py``) has always done.
+
+The streaming engine's copy of the same function carried a raw ``0x01`` byte
+where the backreference ``\\1`` belongs. The group reference therefore became a
+control character, and the pattern could only match a literal control byte, so
+the streaming engine kept the repetitive garbage that the pipeline engine
+strips - for the same model, the same audio and the same ``_clean_text``
+contract.
+
+These tests import both production ``_clean_text`` implementations and require
+them to agree. No weights, GPU or model artifact are needed.
+"""
+
+import pytest
+
+from funasr.models.fun_asr_nano.inference_vllm_pipeline import (
+    _clean_text as pipeline_clean_text,
+)
+from funasr.models.fun_asr_nano.inference_vllm_streaming import (
+    _clean_text as streaming_clean_text,
+)
+
+# The pattern is '>' plus 2-8 characters, repeated at least four times in all.
+REPETITIVE_CASES = [
+    (">abc>abc>abc>abc", ""),
+    (">你好世界>你好世界>你好世界>你好世界", ""),
+    ("正常文本>重复片段>重复片段>重复片段>重复片段结尾", "正常文本结尾"),
+]
+
+# Inputs the repetitive-garbage rule must leave alone.
+PLAIN_CASES = [
+    "",
+    "正常文本",
+    "hello world",
+    ">abc>abc>abc",  # three repeats: below the four-repeat threshold
+    "a>a>a>a",  # the repeated group needs at least two characters
+    "hello\x01world",  # a genuine control byte must not be treated as garbage
+    "<|startofspeech|>你好",
+]
+
+
+@pytest.mark.parametrize("text,expected", REPETITIVE_CASES)
+def test_streaming_trims_repetitive_garbage(text, expected):
+    assert streaming_clean_text(text) == expected
+
+
+@pytest.mark.parametrize("text,expected", REPETITIVE_CASES)
+def test_streaming_matches_pipeline_on_repetitive_garbage(text, expected):
+    assert streaming_clean_text(text) == pipeline_clean_text(text) == expected
+
+
+@pytest.mark.parametrize("text", PLAIN_CASES)
+def test_both_runtimes_agree_on_text_without_repetition(text):
+    assert streaming_clean_text(text) == pipeline_clean_text(text)
+
+
+@pytest.mark.parametrize("text", PLAIN_CASES)
+def test_streaming_leaves_non_repetitive_text_alone(text):
+    assert streaming_clean_text(text) == pipeline_clean_text(text)