diff --git a/transcription-api/backends/backend.py b/transcription-api/backends/backend.py
index 9153ce3..a170923 100644
--- a/transcription-api/backends/backend.py
+++ b/transcription-api/backends/backend.py
@@ -3,7 +3,7 @@
 import numpy as np
 from faster_whisper.audio import decode_audio  # type: ignore
 
-SUPPORTED_MODELS = ["tiny", "tiny.en", "small", "small.en", "base", "base.en", "medium", "medium.en", "large-v2", "large-v3"]
+SUPPORTED_MODELS = ["distil-large-v3", "distil-large-v2", "distil-medium.en", "turbo"]
 
 WordData = TypedDict(
     "WordData", {"word": str, "start": float | str, "end": float | str, "score": float}
@@ -65,4 +65,4 @@ def transcribe(self, input: np.ndarray) -> list[Segment]:
         """
         This should return word level transcription data.
         """
-        raise NotImplementedError()
\ No newline at end of file
+        raise NotImplementedError()