diff --git a/libs/partners/openai/tests/integration_tests/embeddings/test_azure.py b/libs/partners/openai/tests/integration_tests/embeddings/test_azure.py
index 5bf5e7a2480..18644ee66aa 100644
--- a/libs/partners/openai/tests/integration_tests/embeddings/test_azure.py
+++ b/libs/partners/openai/tests/integration_tests/embeddings/test_azure.py
@@ -117,7 +117,7 @@ def test_azure_openai_embedding_with_empty_string() -> None:
         .data[0]
         .embedding
     )
-    assert np.allclose(output[0], expected_output, atol=0.0001)
+    assert np.allclose(output[0], expected_output, atol=0.001)
     assert len(output[1]) == 1536
 
 
diff --git a/libs/partners/openai/tests/integration_tests/embeddings/test_base.py b/libs/partners/openai/tests/integration_tests/embeddings/test_base.py
index ef16dd2f48a..321edcfc0fb 100644
--- a/libs/partners/openai/tests/integration_tests/embeddings/test_base.py
+++ b/libs/partners/openai/tests/integration_tests/embeddings/test_base.py
@@ -2,7 +2,6 @@
 
 import numpy as np
 import openai
-import pytest
 
 from langchain_openai.embeddings.base import OpenAIEmbeddings
 
@@ -33,7 +32,6 @@ def test_langchain_openai_embeddings_dimensions() -> None:
     assert len(output[0]) == 128
 
 
-@pytest.mark.skip(reason="flaky")
 def test_langchain_openai_embeddings_equivalent_to_raw() -> None:
     documents = ["disallowed special token '<|endoftext|>'"]
     embedding = OpenAIEmbeddings()
@@ -45,10 +43,9 @@ def test_langchain_openai_embeddings_equivalent_to_raw() -> None:
         .data[0]
         .embedding
     )
-    assert np.isclose(lc_output, direct_output).all()
+    assert np.allclose(lc_output, direct_output, atol=0.001)
 
 
-@pytest.mark.skip(reason="flaky")
 async def test_langchain_openai_embeddings_equivalent_to_raw_async() -> None:
     documents = ["disallowed special token '<|endoftext|>'"]
     embedding = OpenAIEmbeddings()
@@ -60,7 +57,7 @@ async def test_langchain_openai_embeddings_equivalent_to_raw_async() -> None:
         .data[0]
         .embedding
     )
-    assert np.isclose(lc_output, direct_output).all()
+    assert np.allclose(lc_output, direct_output, atol=0.001)
 
 
 def test_langchain_openai_embeddings_dimensions_large_num() -> None: