diff --git a/faster_whisper/transcribe.py b/faster_whisper/transcribe.py
index 9053d3c..86187fc 100644
--- a/faster_whisper/transcribe.py
+++ b/faster_whisper/transcribe.py
@@ -11,7 +11,7 @@ import tokenizers
 
 from faster_whisper.audio import decode_audio
 from faster_whisper.feature_extractor import FeatureExtractor
-from faster_whisper.tokenizer import Tokenizer
+from faster_whisper.tokenizer import _LANGUAGE_CODES, Tokenizer
 from faster_whisper.utils import download_model, format_timestamp, get_logger
 from faster_whisper.vad import (
     SpeechTimestampsMap,
@@ -154,6 +154,11 @@ class WhisperModel:
         self.time_precision = 0.02
         self.max_length = 448
 
+    @property
+    def supported_languages(self) -> List[str]:
+        """The languages supported by the model."""
+        return list(_LANGUAGE_CODES) if self.model.is_multilingual else ["en"]
+
     def transcribe(
         self,
         audio: Union[str, BinaryIO, np.ndarray],
diff --git a/tests/test_transcribe.py b/tests/test_transcribe.py
index ca8d5a9..d30a0fb 100644
--- a/tests/test_transcribe.py
+++ b/tests/test_transcribe.py
@@ -3,6 +3,11 @@ import os
 from faster_whisper import WhisperModel, decode_audio
 
 
+def test_supported_languages():
+    model = WhisperModel("tiny.en")
+    assert model.supported_languages == ["en"]
+
+
 def test_transcribe(jfk_path):
     model = WhisperModel("tiny")
     segments, info = model.transcribe(jfk_path, word_timestamps=True)