diff --git a/assemblyai/__version__.py b/assemblyai/__version__.py
index f9a0e54..c7b8c61 100644
--- a/assemblyai/__version__.py
+++ b/assemblyai/__version__.py
@@ -1 +1 @@
-__version__ = "0.64.32"
+__version__ = "0.64.33"
diff --git a/assemblyai/types.py b/assemblyai/types.py
index e20b1c3..4b44f71 100644
--- a/assemblyai/types.py
+++ b/assemblyai/types.py
@@ -2259,6 +2259,8 @@ class SentencesResponse(BaseModel):
     sentences: List[Sentence]
     confidence: float
     audio_duration: float
+    speech_model_used: Optional[str] = None
+    "The actual speech model that was used for the transcription"
 
 
 class Paragraph(Word):
@@ -2273,6 +2275,8 @@ class ParagraphsResponse(BaseModel):
     paragraphs: List[Paragraph]
     confidence: float
     audio_duration: float
+    speech_model_used: Optional[str] = None
+    "The actual speech model that was used for the transcription"
 
 
 class BaseTranscript(BaseModel):
diff --git a/tests/unit/factories.py b/tests/unit/factories.py
index aa1e381..ef684ac 100644
--- a/tests/unit/factories.py
+++ b/tests/unit/factories.py
@@ -439,6 +439,7 @@ class Meta:
     sentences = factory.List([factory.SubFactory(SentenceFactory)])
     confidence = factory.Faker("pyfloat", min_value=0.0, max_value=1.0)
     audio_duration = factory.Faker("pyint")
+    speech_model_used = "universal-2"
 
 
 class ParagraphsResponseFactory(factory.Factory):
@@ -448,6 +449,7 @@ class Meta:
     paragraphs = factory.List([factory.SubFactory(ParagraphFactory)])
     confidence = factory.Faker("pyfloat", min_value=0.0, max_value=1.0)
     audio_duration = factory.Faker("pyint")
+    speech_model_used = "universal-2"
 
 
 def generate_dict_factory(f: factory.Factory) -> Callable[[], Dict[str, Any]]:
diff --git a/tests/unit/test_transcript.py b/tests/unit/test_transcript.py
index fec85c7..25f6f6c 100644
--- a/tests/unit/test_transcript.py
+++ b/tests/unit/test_transcript.py
@@ -267,6 +267,24 @@ def compare_words(lhs: List[aai.Word], rhs: List[Dict[str, Any]]) -> bool:
     assert len(httpx_mock.get_requests()) == 2
 
 
+def test_sentences_and_paragraphs_parse_speech_model_used():
+    """
+    Tests that speech_model_used is parsed on the sentences and paragraphs responses.
+    """
+    mock_sentences_response = factories.generate_dict_factory(
+        factories.SentencesResponseFactory
+    )()
+    mock_paragraphs_response = factories.generate_dict_factory(
+        factories.ParagraphsResponseFactory
+    )()
+
+    sentences_response = aai.types.SentencesResponse(**mock_sentences_response)
+    paragraphs_response = aai.types.ParagraphsResponse(**mock_paragraphs_response)
+
+    assert sentences_response.speech_model_used == "universal-2"
+    assert paragraphs_response.speech_model_used == "universal-2"
+
+
 def test_get_sentences_and_paragraphs_fails(httpx_mock: HTTPXMock):
     """
     Tests whether getting sentences and paragraphs fails.