diff --git a/tensorrt_llm/_torch/modules/fused_moe/fused_moe_wide_ep.py b/tensorrt_llm/_torch/modules/fused_moe/fused_moe_wide_ep.py
index 62fee47852e9..8fab75d77e26 100755
--- a/tensorrt_llm/_torch/modules/fused_moe/fused_moe_wide_ep.py
+++ b/tensorrt_llm/_torch/modules/fused_moe/fused_moe_wide_ep.py
@@ -966,6 +966,7 @@ def forward_fake(
         output_dtype: Optional[torch.dtype] = None,
         all_rank_num_tokens: Optional[List[int]] = None,
         use_dp_padding: Optional[bool] = None,
+        alltoall_result_do_sum: bool = True,
         **kwargs,
     ) -> Union[torch.Tensor, List[torch.Tensor]]:
         moe_output = super().forward_fake(
@@ -976,7 +977,7 @@ def forward_fake(
             all_rank_num_tokens=all_rank_num_tokens,
             use_dp_padding=use_dp_padding,
             **kwargs)
-        if self.alltoall_method_type == AlltoallMethodType.MNNVL:
+        if self.alltoall_method_type == AlltoallMethodType.NVLinkTwoSided and not alltoall_result_do_sum:
             shape = moe_output.shape
             top_k = self.routing_method.experts_per_token
             new_shape = [shape[0], top_k, shape[1]]
diff --git a/tests/unittest/_torch/modules/test_fused_moe.py b/tests/unittest/_torch/modules/test_fused_moe.py
index 14acccf452f6..cea8ff57e299 100644
--- a/tests/unittest/_torch/modules/test_fused_moe.py
+++ b/tests/unittest/_torch/modules/test_fused_moe.py
@@ -335,10 +335,6 @@ def per_rank_test_fused_moe_alltoall(job_id):
 ],
                          ids=lambda s: s.name)
 def test_fused_moe_alltoall_fp4(alltoall_method_type):
-
-    if alltoall_method_type == AlltoallMethodType.DeepEPLowLatency:
-        pytest.skip("Skipped due to https://nvbugs/5467531")
-
     world_size = 4
     dtype = torch.bfloat16
     HIDDEN_SIZE = 4096