diff --git a/vllm_ascend/torchair/models/qwen3_moe.py b/vllm_ascend/torchair/models/qwen3_moe.py
index 8338946f132..67155a86094 100644
--- a/vllm_ascend/torchair/models/qwen3_moe.py
+++ b/vllm_ascend/torchair/models/qwen3_moe.py
@@ -56,6 +56,7 @@
 from vllm_ascend.torchair.ops.sequence_parallel import (MetadataForPadding,
                                                         init_metadata_for_sp)
 from vllm_ascend.torchair.ops.torchair_fused_moe import TorchairAscendFusedMoE
+from vllm_ascend.utils import vllm_version_is
 
 
 class CustomSparseMoeBlock(Qwen3MoeSparseMoeBlock):
@@ -313,10 +314,11 @@ def __init__(
                                        eps=config.rms_norm_eps)
         self.post_attention_layernorm = RMSNorm(config.hidden_size,
                                                 eps=config.rms_norm_eps)
-
-        self.enable_sequence_parallelism = (
-            vllm_config.compilation_config.pass_config.enable_sp
-            if vllm_config is not None else False)
+        self.enable_sequence_parallelism = False
+        if vllm_config is not None:
+            self.enable_sequence_parallelism = vllm_config.compilation_config.pass_config.enable_sequence_parallelism if vllm_version_is(
+                "0.12.0"
+            ) else vllm_config.compilation_config.pass_config.enable_sp
 
     def forward(
         self,
@@ -488,7 +490,7 @@ def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
         self.make_empty_intermediate_tensors = (
             self.model.make_empty_intermediate_tensors)
 
-        self.enable_sequence_parallelism = vllm_config.compilation_config.pass_config.enable_sp
+        self.enable_sequence_parallelism = vllm_config.compilation_config.pass_config.enable_sequence_parallelism
         # Set MoE hyperparameters
         self.expert_weights: list[torch.Tensor] = []
 
diff --git a/vllm_ascend/utils.py b/vllm_ascend/utils.py
index 00014c802c3..b7d7ab9cac4 100644
--- a/vllm_ascend/utils.py
+++ b/vllm_ascend/utils.py
@@ -752,9 +752,10 @@ def enable_sp(vllm_config=None, enable_shared_expert_dp: bool = False) -> bool:
         if vllm_config is None:
             from vllm.config import get_current_vllm_config
             vllm_config = get_current_vllm_config()
+        vllm_enable_sp = vllm_config.compilation_config.pass_config.enable_sequence_parallelism if vllm_version_is(
+            "0.12.0") else vllm_config.compilation_config.pass_config.enable_sp
         _ENABLE_SP = (
-            vllm_config.compilation_config.pass_config.enable_sp
-            or envs_ascend.VLLM_ASCEND_ENABLE_FLASHCOMM1
+            vllm_enable_sp or envs_ascend.VLLM_ASCEND_ENABLE_FLASHCOMM1
             # Flash comm 1 should be enabled by env VLLM_ASCEND_ENABLE_FLASHCOMM1
             # We retain the env VLLM_ASCEND_ENABLE_FLASHCOMM here for backward compatibility.
             or bool(int(os.getenv("VLLM_ASCEND_ENABLE_FLASHCOMM", '0'))))