diff --git a/elasticsearch/_async/client/ml.py b/elasticsearch/_async/client/ml.py
index 9c1339aa1..bba4a2f6f 100644
--- a/elasticsearch/_async/client/ml.py
+++ b/elasticsearch/_async/client/ml.py
@@ -3302,6 +3302,7 @@ async def put_trained_model_vocabulary(
         filter_path: t.Optional[t.Union[str, t.Sequence[str]]] = None,
         human: t.Optional[bool] = None,
         merges: t.Optional[t.Sequence[str]] = None,
+        scores: t.Optional[t.Sequence[str]] = None,
         pretty: t.Optional[bool] = None,
     ) -> ObjectApiResponse[t.Any]:
         """
@@ -3312,11 +3313,16 @@ async def put_trained_model_vocabulary(
         :param model_id: The unique identifier of the trained model.
         :param vocabulary: The model vocabulary, which must not be empty.
         :param merges: The optional model merges if required by the tokenizer.
+        :param scores: The optional vocabulary value scores if required by the tokenizer.
         """
         if model_id in SKIP_IN_PATH:
             raise ValueError("Empty value passed for parameter 'model_id'")
         if vocabulary is None:
             raise ValueError("Empty value passed for parameter 'vocabulary'")
+        if scores is not None and len(scores) != len(vocabulary):
+            raise ValueError(
+                "The value length for the 'scores' and 'vocabulary' parameters is not the same"
+            )
         __path = f"/_ml/trained_models/{_quote(model_id)}/vocabulary"
         __body: t.Dict[str, t.Any] = {}
         __query: t.Dict[str, t.Any] = {}
@@ -3330,6 +3336,8 @@ async def put_trained_model_vocabulary(
             __query["human"] = human
         if merges is not None:
             __body["merges"] = merges
+        if scores is not None:
+            __body["scores"] = scores
         if pretty is not None:
             __query["pretty"] = pretty
         __headers = {"accept": "application/json", "content-type": "application/json"}
diff --git a/elasticsearch/_sync/client/ml.py b/elasticsearch/_sync/client/ml.py
index ce85e587c..c57405984 100644
--- a/elasticsearch/_sync/client/ml.py
+++ b/elasticsearch/_sync/client/ml.py
@@ -3302,6 +3302,7 @@ def put_trained_model_vocabulary(
         filter_path: t.Optional[t.Union[str, t.Sequence[str]]] = None,
         human: t.Optional[bool] = None,
         merges: t.Optional[t.Sequence[str]] = None,
+        scores: t.Optional[t.Sequence[str]] = None,
         pretty: t.Optional[bool] = None,
     ) -> ObjectApiResponse[t.Any]:
         """
@@ -3312,11 +3313,16 @@ def put_trained_model_vocabulary(
         :param model_id: The unique identifier of the trained model.
         :param vocabulary: The model vocabulary, which must not be empty.
         :param merges: The optional model merges if required by the tokenizer.
+        :param scores: The optional vocabulary value scores if required by the tokenizer.
         """
         if model_id in SKIP_IN_PATH:
             raise ValueError("Empty value passed for parameter 'model_id'")
         if vocabulary is None:
             raise ValueError("Empty value passed for parameter 'vocabulary'")
+        if scores is not None and len(scores) != len(vocabulary):
+            raise ValueError(
+                "The value length for the 'scores' and 'vocabulary' parameters is not the same"
+            )
         __path = f"/_ml/trained_models/{_quote(model_id)}/vocabulary"
         __body: t.Dict[str, t.Any] = {}
         __query: t.Dict[str, t.Any] = {}
@@ -3330,6 +3336,8 @@ def put_trained_model_vocabulary(
             __query["human"] = human
         if merges is not None:
             __body["merges"] = merges
+        if scores is not None:
+            __body["scores"] = scores
         if pretty is not None:
             __query["pretty"] = pretty
         __headers = {"accept": "application/json", "content-type": "application/json"}