diff --git a/libs/community/langchain_community/embeddings/openai.py b/libs/community/langchain_community/embeddings/openai.py
index 99f41e62856dd..14870572fc272 100644
--- a/libs/community/langchain_community/embeddings/openai.py
+++ b/libs/community/langchain_community/embeddings/openai.py
@@ -491,7 +491,7 @@ def _get_len_safe_embeddings(
                 **self._invocation_params,
             )
             if not isinstance(response, dict):
-                response = response.dict()
+                response = response.model_dump()
             batched_embeddings.extend(r["embedding"] for r in response["data"])
 
         results: List[List[List[float]]] = [[] for _ in range(len(texts))]
@@ -512,7 +512,7 @@ def _get_len_safe_embeddings(
                     **self._invocation_params,
                 )
                 if not isinstance(average_embedded, dict):
-                    average_embedded = average_embedded.dict()
+                    average_embedded = average_embedded.model_dump()
                 average = average_embedded["data"][0]["embedding"]
             else:
                 average = np.average(_result, axis=0, weights=num_tokens_in_batch[i])
@@ -616,7 +616,7 @@ async def _aget_len_safe_embeddings(
             )
 
             if not isinstance(response, dict):
-                response = response.dict()
+                response = response.model_dump()
             batched_embeddings.extend(r["embedding"] for r in response["data"])
 
         results: List[List[List[float]]] = [[] for _ in range(len(texts))]