diff --git a/comfy/text_encoders/gemma4.py b/comfy/text_encoders/gemma4.py
index 7c3df9c09..78ad81741 100644
--- a/comfy/text_encoders/gemma4.py
+++ b/comfy/text_encoders/gemma4.py
@@ -1227,6 +1227,15 @@ class Gemma4SDTokenizer(Gemma4_Tokenizer, sd1_clip.SDTokenizer):
         self.tokenizer_json_data = tokenizer_json
         super().__init__(tokenizer_json, pad_with_end=False, embedding_size=self.embedding_size, embedding_key='gemma4', tokenizer_class=_Gemma4Tokenizer, has_start_token=True, has_end_token=False, pad_to_max_length=False, max_length=99999999, min_length=1, pad_left=True, disable_weights=True, start_token=2, tokenizer_data=tokenizer_data)
 
+    def decode(self, token_ids, **kwargs):
+        text = super().decode(token_ids, skip_special_tokens=False)
+        # Translate thinking channel markers to standard <think>/</think> tags
+        text = text.replace("<|channel>thought\n", "<think>\n")
+        text = text.replace("<channel|>", "</think>")
+        # Strip remaining special tokens
+        text = text.replace("<turn|>", "").replace("<eos>", "").strip()
+        return text
+
 
 class Gemma4Tokenizer(sd1_clip.SD1Tokenizer):
     tokenizer_class = Gemma4SDTokenizer
diff --git a/comfy_extras/nodes_textgen.py b/comfy_extras/nodes_textgen.py
index 0d4cf3a2b..ec81159d3 100644
--- a/comfy_extras/nodes_textgen.py
+++ b/comfy_extras/nodes_textgen.py
@@ -71,14 +71,7 @@ class TextGenerate(io.ComfyNode):
             seed=seed
         )
 
-        generated_text = clip.decode(generated_ids, skip_special_tokens=not thinking)
-
-        if thinking:
-            # Translate Gemma4 thinking channel markers to standard <think>/</think> tags
-            generated_text = generated_text.replace("<|channel>thought\n", "<think>\n")
-            generated_text = generated_text.replace("<channel|>", "</think>")
-            # Strip remaining special tokens
-            generated_text = generated_text.replace("<turn|>", "").replace("<eos>", "").strip()
+        generated_text = clip.decode(generated_ids)
 
         return io.NodeOutput(generated_text)