diff --git a/python/sglang/srt/layers/communicator.py b/python/sglang/srt/layers/communicator.py
index 936eecb90b97..599982bb094d 100644
--- a/python/sglang/srt/layers/communicator.py
+++ b/python/sglang/srt/layers/communicator.py
@@ -47,6 +47,7 @@
     get_attention_dp_size,
     get_attention_tp_rank,
     get_attention_tp_size,
+    get_dp_global_num_tokens,
     get_global_dp_buffer,
     get_local_dp_buffer,
     is_allocation_symmetric,
@@ -55,6 +56,7 @@
 from sglang.srt.layers.flashinfer_comm_fusion import is_flashinfer_allreduce_unavailable
 from sglang.srt.layers.moe import (
     get_moe_a2a_backend,
+    should_use_dp_reduce_scatterv,
     should_use_flashinfer_cutlass_moe_fp4_allgather,
 )
 from sglang.srt.model_executor.forward_batch_info import ForwardBatch
@@ -1007,8 +1009,13 @@ def _scatter_hidden_states(
             get_local_dp_buffer(),
             hidden_states,
         )
-        if allow_reduce_scatter and forward_batch.dp_padding_mode.is_max_len():
-            # When using padding, all_reduce is skipped after MLP and MOE and reduce scatter is used here instead.
+        if should_use_dp_reduce_scatterv():
+            get_tp_group().reduce_scatterv(
+                global_hidden_states,
+                output=hidden_states,
+                sizes=get_dp_global_num_tokens(),
+            )
+        elif allow_reduce_scatter and forward_batch.dp_padding_mode.is_max_len():
             dp_reduce_scatter_tensor(hidden_states, global_hidden_states)
         else:
             dp_scatter(hidden_states, global_hidden_states, forward_batch)
diff --git a/python/sglang/srt/layers/moe/__init__.py b/python/sglang/srt/layers/moe/__init__.py
index 74d23ecd7c70..3984a8322814 100644
--- a/python/sglang/srt/layers/moe/__init__.py
+++ b/python/sglang/srt/layers/moe/__init__.py
@@ -10,6 +10,7 @@
     get_tbo_token_distribution_threshold,
     initialize_moe_config,
     is_tbo_enabled,
+    should_use_dp_reduce_scatterv,
     should_use_flashinfer_cutlass_moe_fp4_allgather,
 )
 
@@ -23,6 +24,7 @@
     "get_moe_a2a_backend",
     "get_moe_runner_backend",
     "get_deepep_mode",
+    "should_use_dp_reduce_scatterv",
     "should_use_flashinfer_cutlass_moe_fp4_allgather",
     "is_tbo_enabled",
     "get_tbo_token_distribution_threshold",
diff --git a/python/sglang/srt/layers/moe/utils.py b/python/sglang/srt/layers/moe/utils.py
index 0d5fa7ddbce4..d7fba833275a 100644
--- a/python/sglang/srt/layers/moe/utils.py
+++ b/python/sglang/srt/layers/moe/utils.py
@@ -289,6 +289,21 @@ def should_use_flashinfer_cutlass_moe_fp4_allgather():
     )
 
 
+def should_use_dp_reduce_scatterv():
+    """
+    Use reduce_scatterv in the standard dispatcher's combine() for DP attention
+    with EP, replacing the default all-reduce + dp_scatter path.
+    Only changes the combine (post-kernel) communication; dispatch is unchanged.
+    """
+    return (
+        not should_use_flashinfer_cutlass_moe_fp4_allgather()
+        and get_moe_a2a_backend().is_none()
+        and is_dp_attention_enabled()
+        and get_attention_dp_size() > 1
+        and get_moe_expert_parallel_world_size() == get_attention_dp_size()
+    )
+
+
 @contextmanager
 def speculative_moe_backend_context():
     """
diff --git a/python/sglang/srt/models/qwen2_moe.py b/python/sglang/srt/models/qwen2_moe.py
index 8f3475a24323..2029465ac499 100644
--- a/python/sglang/srt/models/qwen2_moe.py
+++ b/python/sglang/srt/models/qwen2_moe.py
@@ -57,6 +57,7 @@
 from sglang.srt.layers.logits_processor import LogitsProcessor
 from sglang.srt.layers.moe import (
     get_moe_a2a_backend,
+    should_use_dp_reduce_scatterv,
     should_use_flashinfer_cutlass_moe_fp4_allgather,
 )
 from sglang.srt.layers.moe.ep_moe.layer import get_moe_impl_class
@@ -352,6 +353,7 @@ def forward(
             and not should_allreduce_fusion
             and not use_reduce_scatter
             and not should_use_flashinfer_cutlass_moe_fp4_allgather()
+            and not should_use_dp_reduce_scatterv()
         ):
             final_hidden_states = tensor_model_parallel_all_reduce(final_hidden_states)