diff --git a/mteb/models/openai_models.py b/mteb/models/openai_models.py
index c187bfa317..619a4a747f 100644
--- a/mteb/models/openai_models.py
+++ b/mteb/models/openai_models.py
@@ -25,7 +25,7 @@ def __init__(
         **kwargs,
     ) -> None:
         """Wrapper for OpenAIs embedding API.
-        To handle documents larger than 8192 tokens, we truncate the document to the specified sequence length.
+        To handle documents larger than 8191 tokens, we truncate the document to the specified sequence length.
         """
         requires_package(self, "openai", "Openai text embedding")
         from openai import OpenAI
@@ -124,7 +124,7 @@ def _to_numpy(self, embedding_response) -> np.ndarray:
         OpenAIWrapper,
         model_name="text-embedding-3-small",
         tokenizer_name="cl100k_base",
-        max_tokens=8192,
+        max_tokens=8191,
     ),
     max_tokens=8191,
     embed_dim=1536,
@@ -149,7 +149,7 @@ def _to_numpy(self, embedding_response) -> np.ndarray:
         OpenAIWrapper,
         model_name="text-embedding-3-large",
         tokenizer_name="cl100k_base",
-        max_tokens=8192,
+        max_tokens=8191,
     ),
     max_tokens=8191,
     embed_dim=3072,
@@ -172,7 +172,7 @@ def _to_numpy(self, embedding_response) -> np.ndarray:
         OpenAIWrapper,
         model_name="text-embedding-ada-002",
         tokenizer_name="cl100k_base",
-        max_tokens=8192,
+        max_tokens=8191,
     ),
     reference="https://openai.com/index/new-and-improved-embedding-model/",
     max_tokens=8191,