diff --git a/litellm/main.py b/litellm/main.py
index 979dbe19d9..0553cf9d42 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -4923,10 +4923,17 @@ def embedding(  # noqa: PLR0915
             if encoding_format is not None:
                 optional_params["encoding_format"] = encoding_format
             else:
-                optional_params["encoding_format"] = (
-                    get_secret_str("LITELLM_DEFAULT_EMBEDDING_ENCODING_FORMAT")
-                    or "float"
-                )
+                env_fmt = get_secret_str("LITELLM_DEFAULT_EMBEDDING_ENCODING_FORMAT")
+                if env_fmt is not None and env_fmt.strip().lower() == "none":
+                    optional_params.pop("encoding_format", None)
+                else:
+                    _default_fmt = (
+                        optional_params.get("encoding_format") or env_fmt or "float"
+                    )
+                    if _default_fmt.strip().lower() == "none":
+                        optional_params.pop("encoding_format", None)
+                    else:
+                        optional_params["encoding_format"] = _default_fmt
 
             api_version = None
 
diff --git a/tests/test_litellm/test_openai_embedding_encoding_format_default.py b/tests/test_litellm/test_openai_embedding_encoding_format_default.py
index 6f34963f61..94e4e3c81e 100644
--- a/tests/test_litellm/test_openai_embedding_encoding_format_default.py
+++ b/tests/test_litellm/test_openai_embedding_encoding_format_default.py
@@ -50,6 +50,44 @@ def test_openai_embedding_encoding_format_default(
         assert call_kwargs["encoding_format"] == expected
 
 
+@pytest.mark.parametrize("env_none", ["none", "NONE", " none "])
+def test_openai_embedding_encoding_format_env_none_omits_param(
+    monkeypatch, env_none
+):
+    """LITELLM_DEFAULT_EMBEDDING_ENCODING_FORMAT=none omits encoding_format (provider default)."""
+    monkeypatch.setenv("LITELLM_DEFAULT_EMBEDDING_ENCODING_FORMAT", env_none)
+
+    mock_response = MagicMock()
+    mock_response.parse.return_value = MagicMock(
+        model_dump=lambda: {
+            "data": [{"embedding": [0.1, 0.2, 0.3], "index": 0}],
+            "model": "text-embedding-ada-002",
+            "object": "list",
+            "usage": {"prompt_tokens": 1, "total_tokens": 1},
+        }
+    )
+    mock_response.headers = {}
+
+    with patch(
+        "litellm.llms.openai.openai.OpenAIChatCompletion._get_openai_client"
+    ) as mock_get_client:
+        mock_client_instance = MagicMock()
+        mock_get_client.return_value = mock_client_instance
+        mock_client_instance.embeddings.with_raw_response.create.return_value = (
+            mock_response
+        )
+
+        embedding(
+            model="text-embedding-ada-002",
+            input="Hello world",
+        )
+
+        call_kwargs = (
+            mock_client_instance.embeddings.with_raw_response.create.call_args[1]
+        )
+        assert "encoding_format" not in call_kwargs
+
+
 def test_openai_embedding_encoding_format_explicit_overrides_env(monkeypatch):
     """Request `encoding_format` wins over LITELLM_DEFAULT_EMBEDDING_ENCODING_FORMAT."""
     monkeypatch.setenv("LITELLM_DEFAULT_EMBEDDING_ENCODING_FORMAT", "float")