diff --git a/src/transformers/models/qwen2_5_omni/processing_qwen2_5_omni.py b/src/transformers/models/qwen2_5_omni/processing_qwen2_5_omni.py
index dcc98856ddc2..5f5b6584862a 100644
--- a/src/transformers/models/qwen2_5_omni/processing_qwen2_5_omni.py
+++ b/src/transformers/models/qwen2_5_omni/processing_qwen2_5_omni.py
@@ -16,7 +16,6 @@
 Processor class for Qwen2.5Omni.
 """
 
-import logging
 import re
 
 import numpy as np
@@ -301,27 +300,6 @@ def _iter():
 
         return list(_iter())
 
-    def apply_chat_template(self, conversations, chat_template=None, **kwargs):
-        is_batched = False
-        if isinstance(conversations[0], dict):
-            conversations = [conversations]
-            is_batched = True
-
-        for conversation in conversations:
-            if (
-                conversation[0]["role"] != "system"
-                or conversation[0]["content"][0]["text"]
-                != "You are Qwen, a virtual human developed by the Qwen Team, Alibaba Group, capable of perceiving auditory and visual inputs, as well as generating text and speech."
-            ):
-                logging.warning(
-                    "System prompt modified, audio output may not work as expected. "
-                    + "Audio output mode only works when using default system prompt 'You are Qwen, a virtual human developed by the Qwen Team, Alibaba Group, capable of perceiving auditory and visual inputs, as well as generating text and speech.'"
-                )
-        if is_batched:
-            conversations = conversations[0]
-
-        return super().apply_chat_template(conversations, chat_template, **kwargs)
-
     def post_process_image_text_to_text(self, generated_outputs, skip_special_tokens=True, **kwargs):
         """
         Post-process the output of a vlm to decode the text.
diff --git a/src/transformers/models/qwen3_omni_moe/processing_qwen3_omni_moe.py b/src/transformers/models/qwen3_omni_moe/processing_qwen3_omni_moe.py
index 9ab134377829..f8fa23ee31ba 100644
--- a/src/transformers/models/qwen3_omni_moe/processing_qwen3_omni_moe.py
+++ b/src/transformers/models/qwen3_omni_moe/processing_qwen3_omni_moe.py
@@ -318,9 +318,6 @@ def _iter():
 
         return list(_iter())
 
-    def apply_chat_template(self, conversations, chat_template=None, **kwargs):
-        return super().apply_chat_template(conversations, chat_template, **kwargs)
-
     def post_process_image_text_to_text(self, generated_outputs, skip_special_tokens=True, **kwargs):
         """
         Post-process the output of a vlm to decode the text.
@@ -392,5 +389,8 @@ def model_input_names(self):
             )
         )
 
+    def apply_chat_template(self, conversations, chat_template=None, **kwargs):
+        return super().apply_chat_template(conversations, chat_template, **kwargs)
+
 
 __all__ = ["Qwen3OmniMoeProcessor"]