diff --git a/vllm/model_executor/layers/fused_moe/experts/marlin_moe.py b/vllm/model_executor/layers/fused_moe/experts/marlin_moe.py
index 621b33dd8f3..376ef3cee54 100644
--- a/vllm/model_executor/layers/fused_moe/experts/marlin_moe.py
+++ b/vllm/model_executor/layers/fused_moe/experts/marlin_moe.py
@@ -413,6 +413,7 @@ def batched_fused_marlin_moe(
     is_k_full: bool = True,
     output: torch.Tensor | None = None,
     inplace: bool = False,
+    clamp_limit: float | None = None,
 ) -> torch.Tensor:
     """
     This function massages the inputs so the batched hidden_states can be
@@ -535,6 +536,7 @@ def batched_fused_marlin_moe(
         intermediate_cache2=intermediate_cache2,
         output=output.view(-1, K) if output is not None else output,
         is_k_full=is_k_full,
+        clamp_limit=clamp_limit,
     )
 
     output = output.view(B, BATCH_TOKENS_MAX, K)
@@ -768,6 +770,7 @@ class MarlinExperts(LoRAExpertsMixin, MarlinExpertsBase):
                 sort_indices2=self.w2_g_idx_sort_indices,
                 is_k_full=self.is_k_full,
                 input_dtype=self.input_dtype,
+                clamp_limit=self.gemm1_clamp_limit,
             )
             return
 
@@ -970,4 +973,5 @@ class BatchedMarlinExperts(MarlinExpertsBase):
             sort_indices1=self.w13_g_idx_sort_indices,
             sort_indices2=self.w2_g_idx_sort_indices,
             is_k_full=self.is_k_full,
+            clamp_limit=self.gemm1_clamp_limit,
         )