diff --git a/README.md b/README.md
index 95b7b411..29bc9172 100644
--- a/README.md
+++ b/README.md
@@ -113,7 +113,7 @@ Once you have the above docker setup and running, you can create agents and init
                         "stream": true,
                         "provider_config": {
                             "voice": "Meera - high quality, emotive",
-                            "model": "eleven_multilingual_v2",
+                            "model": "eleven_turbo_v2_5",
                             "voice_id": "TTa58Hl9lmhnQEvhp1WM"
                         },
                         "buffer_size": 100.0
diff --git a/bolna/synthesizer/elevenlabs_synthesizer.py b/bolna/synthesizer/elevenlabs_synthesizer.py
index 67622000..6814df15 100644
--- a/bolna/synthesizer/elevenlabs_synthesizer.py
+++ b/bolna/synthesizer/elevenlabs_synthesizer.py
@@ -18,14 +18,14 @@
 
 
 class ElevenlabsSynthesizer(BaseSynthesizer):
-    def __init__(self, voice, voice_id, model="eleven_multilingual_v1", audio_format="mp3", sampling_rate="16000",
+    def __init__(self, voice, voice_id, model="eleven_turbo_v2_5", audio_format="mp3", sampling_rate="16000",
                  stream=False, buffer_size=400, temperature = 0.9, similarity_boost = 0.5, synthesier_key=None, 
                  caching=True, **kwargs):
         super().__init__(stream)
         self.api_key = os.environ["ELEVENLABS_API_KEY"] if synthesier_key is None else synthesier_key
         self.voice = voice_id
         self.use_turbo = kwargs.get("use_turbo", False)
-        self.model = "eleven_turbo_v2" if self.use_turbo else "eleven_multilingual_v2"
+        self.model = model
         logger.info(f"Using turbo or not {self.model}")
         self.stream = False  # Issue with elevenlabs streaming that we need to always send the text quickly
         self.websocket_connection = None
diff --git a/local_setup/README.md b/local_setup/README.md
index 14d95bf1..a512d8ae 100644
--- a/local_setup/README.md
+++ b/local_setup/README.md
@@ -67,7 +67,7 @@ Once you have the above docker setup and running, you can create agents and init
                         "stream": true,
                         "provider_config": {
                             "voice": "Meera - high quality, emotive",
-                            "model": "eleven_multilingual_v2",
+                            "model": "eleven_turbo_v2_5",
                             "voice_id": "TTa58Hl9lmhnQEvhp1WM"
                         },
                         "buffer_size": 100.0