diff --git a/tests/unit_tests/transformer/test_cuda_graphs.py b/tests/unit_tests/transformer/test_cuda_graphs.py
index d602346c370..a1e9dab269f 100644
--- a/tests/unit_tests/transformer/test_cuda_graphs.py
+++ b/tests/unit_tests/transformer/test_cuda_graphs.py
@@ -1252,10 +1252,6 @@ def test_moe_partial_cudagraph(self, ep_size, moe_dropless_dispatcher, moe_dispa
             extra_kwargs["moe_token_dispatcher_type"] = "flex"
             extra_kwargs["moe_flex_dispatcher_backend"] = "deepep"
         elif moe_dispatcher_type == "hybridep":
-            pytest.skip(
-                "Currently, the Hybrid EP is broken. "
-                "Temporarily skip the test and wait for the fix."
-            )
             if not is_hybrid_ep_available():
                 pytest.skip("Hybrid EP is not available")
             extra_kwargs["moe_token_dispatcher_type"] = "flex"
@@ -1265,8 +1261,6 @@ def test_moe_partial_cudagraph(self, ep_size, moe_dropless_dispatcher, moe_dispa
         if not moe_dropless_dispatcher:
             if moe_dispatcher_type == "deepep":
                 pytest.skip("Deep EP doesn't support drop&pad MoE")
-            if moe_dispatcher_type == "hybridep" and ep_size == 1:
-                pytest.skip("Hybrid EP doesn't support drop&pad MoE with ep_size == 1")
             extra_kwargs["moe_expert_capacity_factor"] = 1.0
             extra_kwargs["moe_pad_expert_input_to_capacity"] = True