diff --git a/vllm/model_executor/models/qwen3_moe.py b/vllm/model_executor/models/qwen3_moe.py
index 6f080d07795e..520126718fdc 100644
--- a/vllm/model_executor/models/qwen3_moe.py
+++ b/vllm/model_executor/models/qwen3_moe.py
@@ -231,11 +231,19 @@ def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
         if self.is_sequence_parallel:
             hidden_states = sequence_parallel_chunk(hidden_states)
 
-        # router_logits: (num_tokens, n_experts)
-        router_logits, _ = self.gate(hidden_states)
-        final_hidden_states = self.experts(
-            hidden_states=hidden_states, router_logits=router_logits
-        )
+        if self.experts.is_internal_router:
+            # In this case, the gate/router runs inside the FusedMoE class
+            final_hidden_states = self.experts(
+                hidden_states=hidden_states, router_logits=hidden_states
+            )
+        else:
+            # Actually this will be dead code, since we always pass gate into
+            # FusedMoE in the current implementation. But we keep this code
+            # here for clarity and future flexibility.
+            router_logits, _ = self.gate(hidden_states)
+            final_hidden_states = self.experts(
+                hidden_states=hidden_states, router_logits=router_logits
+            )
 
         if self.is_sequence_parallel:
             final_hidden_states = tensor_model_parallel_all_gather(