diff --git a/litellm/llms/databricks/chat/transformation.py b/litellm/llms/databricks/chat/transformation.py
index c086d4ad755..09a1b390580 100644
--- a/litellm/llms/databricks/chat/transformation.py
+++ b/litellm/llms/databricks/chat/transformation.py
@@ -176,6 +176,8 @@ class DatabricksConfig(DatabricksBase, OpenAILikeChatConfig, AnthropicConfig):
             custom_endpoint=False,
             headers=headers,
             custom_user_agent=custom_user_agent,
+            client_id=litellm_params.get("client_id"),
+            client_secret=litellm_params.get("client_secret"),
         )
         # Ensure Content-Type header is set
         headers["Content-Type"] = "application/json"
diff --git a/litellm/llms/databricks/common_utils.py b/litellm/llms/databricks/common_utils.py
index d39d52d2d59..fb223546256 100644
--- a/litellm/llms/databricks/common_utils.py
+++ b/litellm/llms/databricks/common_utils.py
@@ -314,6 +314,8 @@ class DatabricksBase:
         custom_endpoint: Optional[bool],
         headers: Optional[dict],
         custom_user_agent: Optional[str] = None,
+        client_id: Optional[str] = None,
+        client_secret: Optional[str] = None,
     ) -> Tuple[str, dict]:
         """
         Validate and configure the Databricks environment.
@@ -330,6 +332,8 @@ class DatabricksBase:
             custom_endpoint: Whether using a custom endpoint URL
             headers: Existing headers dict
             custom_user_agent: Optional custom user agent to prefix
+            client_id: OAuth client ID from litellm_params (falls back to env var)
+            client_secret: OAuth client secret from litellm_params (falls back to env var)
 
         Returns:
             Tuple of (api_base, headers) with authentication configured
@@ -337,8 +341,9 @@ class DatabricksBase:
         from litellm._logging import verbose_logger
 
         # Check for OAuth M2M credentials (recommended for production)
-        client_id = os.getenv("DATABRICKS_CLIENT_ID")
-        client_secret = os.getenv("DATABRICKS_CLIENT_SECRET")
+        # Per-model litellm_params take priority over global env vars
+        client_id = client_id or os.getenv("DATABRICKS_CLIENT_ID")
+        client_secret = client_secret or os.getenv("DATABRICKS_CLIENT_SECRET")
 
         # Determine api_base first
         if api_base is None:
diff --git a/litellm/llms/databricks/responses/transformation.py b/litellm/llms/databricks/responses/transformation.py
index 090fef5ac82..afc5be37096 100644
--- a/litellm/llms/databricks/responses/transformation.py
+++ b/litellm/llms/databricks/responses/transformation.py
@@ -58,6 +58,8 @@ class DatabricksResponsesAPIConfig(DatabricksBase, OpenAIResponsesAPIConfig):
             endpoint_type="chat_completions",
             custom_endpoint=False,
             headers=headers,
+            client_id=getattr(litellm_params, "client_id", None),
+            client_secret=getattr(litellm_params, "client_secret", None),
         )
 
         headers["Content-Type"] = "application/json"
diff --git a/tests/test_litellm/llms/databricks/test_databricks_common_utils.py b/tests/test_litellm/llms/databricks/test_databricks_common_utils.py
index 7f7ec8e9000..5b38cacb065 100644
--- a/tests/test_litellm/llms/databricks/test_databricks_common_utils.py
+++ b/tests/test_litellm/llms/databricks/test_databricks_common_utils.py
@@ -30,3 +30,88 @@ def test_databricks_validate_environment():
         except Exception:
             pass
         mock_get_credentials.assert_called_once()
+
+
+def test_databricks_validate_environment_oauth_m2m_from_litellm_params():
+    """Test that client_id/client_secret from litellm_params are used for OAuth M2M auth."""
+    databricks_base = DatabricksBase()
+
+    with patch.object(
+        databricks_base, "_get_oauth_m2m_token", return_value="fake_token"
+    ) as mock_get_token:
+        api_base, headers = databricks_base.databricks_validate_environment(
+            api_key=None,
+            api_base="https://my-workspace.databricks.com/serving-endpoints",
+            endpoint_type="chat_completions",
+            custom_endpoint=False,
+            headers=None,
+            client_id="my-client-id",
+            client_secret="my-client-secret",
+        )
+
+        mock_get_token.assert_called_once_with(
+            "https://my-workspace.databricks.com/serving-endpoints",
+            "my-client-id",
+            "my-client-secret",
+        )
+        assert headers["Authorization"] == "Bearer fake_token"
+
+
+def test_databricks_validate_environment_oauth_m2m_params_override_env():
+    """Test that litellm_params client_id/client_secret take priority over env vars."""
+    databricks_base = DatabricksBase()
+
+    with patch.dict(
+        os.environ,
+        {
+            "DATABRICKS_CLIENT_ID": "env-client-id",
+            "DATABRICKS_CLIENT_SECRET": "env-client-secret",
+        },
+    ), patch.object(
+        databricks_base, "_get_oauth_m2m_token", return_value="fake_token"
+    ) as mock_get_token:
+        databricks_base.databricks_validate_environment(
+            api_key=None,
+            api_base="https://my-workspace.databricks.com/serving-endpoints",
+            endpoint_type="chat_completions",
+            custom_endpoint=False,
+            headers=None,
+            client_id="param-client-id",
+            client_secret="param-client-secret",
+        )
+
+        # litellm_params values should take priority over env vars
+        mock_get_token.assert_called_once_with(
+            "https://my-workspace.databricks.com/serving-endpoints",
+            "param-client-id",
+            "param-client-secret",
+        )
+
+
+def test_databricks_validate_environment_oauth_m2m_falls_back_to_env():
+    """Test that env vars are used when litellm_params don't have client_id/client_secret."""
+    databricks_base = DatabricksBase()
+
+    with patch.dict(
+        os.environ,
+        {
+            "DATABRICKS_CLIENT_ID": "env-client-id",
+            "DATABRICKS_CLIENT_SECRET": "env-client-secret",
+        },
+    ), patch.object(
+        databricks_base, "_get_oauth_m2m_token", return_value="fake_token"
+    ) as mock_get_token:
+        databricks_base.databricks_validate_environment(
+            api_key=None,
+            api_base="https://my-workspace.databricks.com/serving-endpoints",
+            endpoint_type="chat_completions",
+            custom_endpoint=False,
+            headers=None,
+        )
+
+        # Should fall back to env vars
+        mock_get_token.assert_called_once_with(
+            "https://my-workspace.databricks.com/serving-endpoints",
+            "env-client-id",
+            "env-client-secret",
+        )