diff --git a/pyproject.toml b/pyproject.toml
index 4f1c7af13..1172d347a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -159,7 +159,7 @@ where = ["src"]
     "src/pipecat/audio/dtmf/dtmf-star.wav",
 ]
 "pipecat.services.aws_nova_sonic" = ["src/pipecat/services/aws_nova_sonic/ready.wav"]
-"pipecat.audio.turn.smart_turn.data" = ["src/pipecat/audio/turn/smart_turn/data/smart-turn-v3.0.onnx"]
+"pipecat.audio.turn.smart_turn.data" = ["src/pipecat/audio/turn/smart_turn/data/smart-turn-v3.1-cpu.onnx"]
 
 [tool.pytest.ini_options]
 addopts = "--verbose"
diff --git a/src/pipecat/audio/turn/smart_turn/data/smart-turn-v3.0.onnx b/src/pipecat/audio/turn/smart_turn/data/smart-turn-v3.1-cpu.onnx
similarity index 56%
rename from src/pipecat/audio/turn/smart_turn/data/smart-turn-v3.0.onnx
rename to src/pipecat/audio/turn/smart_turn/data/smart-turn-v3.1-cpu.onnx
index e2ff710a0..9a2360f19 100644
Binary files a/src/pipecat/audio/turn/smart_turn/data/smart-turn-v3.0.onnx and b/src/pipecat/audio/turn/smart_turn/data/smart-turn-v3.1-cpu.onnx differ
diff --git a/src/pipecat/audio/turn/smart_turn/local_smart_turn_v3.py b/src/pipecat/audio/turn/smart_turn/local_smart_turn_v3.py
index 08b9f3cd1..406abe165 100644
--- a/src/pipecat/audio/turn/smart_turn/local_smart_turn_v3.py
+++ b/src/pipecat/audio/turn/smart_turn/local_smart_turn_v3.py
@@ -42,17 +42,15 @@ class LocalSmartTurnAnalyzerV3(BaseSmartTurn):
 
         Args:
             smart_turn_model_path: Path to the ONNX model file. If this is not
-                set, the bundled smart-turn-v3.0 model will be used.
+                set, the bundled smart-turn-v3.1-cpu model will be used.
             cpu_count: The number of CPUs to use for inference. Defaults to 1.
             **kwargs: Additional arguments passed to BaseSmartTurn.
         """
         super().__init__(**kwargs)
 
-        logger.debug("Loading Local Smart Turn v3 model...")
-
         if not smart_turn_model_path:
             # Load bundled model
-            model_name = "smart-turn-v3.0.onnx"
+            model_name = "smart-turn-v3.1-cpu.onnx"
             package_path = "pipecat.audio.turn.smart_turn.data"
 
             try:
@@ -70,6 +68,8 @@ class LocalSmartTurnAnalyzerV3(BaseSmartTurn):
                         impresources.files(package_path).joinpath(model_name)
                     )
 
+        logger.debug(f"Loading Local Smart Turn v3.x model from {smart_turn_model_path}...")
+
         so = ort.SessionOptions()
         so.execution_mode = ort.ExecutionMode.ORT_SEQUENTIAL
         so.inter_op_num_threads = 1
@@ -79,7 +79,7 @@ class LocalSmartTurnAnalyzerV3(BaseSmartTurn):
         self._feature_extractor = WhisperFeatureExtractor(chunk_length=8)
         self._session = ort.InferenceSession(smart_turn_model_path, sess_options=so)
 
-        logger.debug("Loaded Local Smart Turn v3")
+        logger.debug("Loaded Local Smart Turn v3.x")
 
     def _predict_endpoint(self, audio_array: np.ndarray) -> Dict[str, Any]:
         """Predict end-of-turn using local ONNX model."""