diff --git a/vllm/model_executor/layers/fused_moe/flashinfer_cutlass_moe.py b/vllm/model_executor/layers/fused_moe/flashinfer_cutlass_moe.py
index 1753c4f6e2387..3e79a1a8c24b2 100644
--- a/vllm/model_executor/layers/fused_moe/flashinfer_cutlass_moe.py
+++ b/vllm/model_executor/layers/fused_moe/flashinfer_cutlass_moe.py
@@ -181,12 +181,12 @@ class FlashInferExperts(mk.FusedMoEPermuteExpertsUnpermute):
             g2_alphas,
         ]
         _ = flashinfer_cutlass_fused_moe(
-            hidden_states,
-            topk_ids.to(torch.int),
-            topk_weights,
+            input=hidden_states,
+            token_selected_experts=topk_ids.to(torch.int),
+            token_final_scales=topk_weights,
             # FlashInfer API requires weight to be long for nvfp4
-            w1.view(torch.long),
-            w2.view(torch.long),
+            fc1_expert_weights=w1.view(torch.long),
+            fc2_expert_weights=w2.view(torch.long),
             output_dtype=out_dtype,
             quant_scales=quant_scales,
             input_sf=a1q_scale,
diff --git a/vllm/model_executor/layers/fused_moe/flashinfer_cutlass_prepare_finalize.py b/vllm/model_executor/layers/fused_moe/flashinfer_cutlass_prepare_finalize.py
index 49819504c8ec8..e658990e95e58 100644
--- a/vllm/model_executor/layers/fused_moe/flashinfer_cutlass_prepare_finalize.py
+++ b/vllm/model_executor/layers/fused_moe/flashinfer_cutlass_prepare_finalize.py
@@ -11,7 +11,7 @@ from vllm.forward_context import get_forward_context
 from vllm.model_executor.layers.fused_moe.config import FusedMoEQuantConfig
 from vllm.model_executor.layers.fused_moe.utils import (
     extract_required_args, moe_kernel_quantize_input)
-from vllm.utils.flashinfer import fp4_swizzle_blockscale
+from vllm.utils.flashinfer import block_scale_interleave
 
 
 def get_local_sizes(local_tokens):
@@ -92,7 +92,7 @@ class FlashInferCutlassMoEPrepareAndFinalize(mk.FusedMoEPrepareAndFinalize):
                                            dim=0,
                                            sizes=get_local_sizes(local_tokens))
             a1_m, a1_n = a1q.shape
-            a1q_scale = fp4_swizzle_blockscale(a1q_scale, a1_m, a1_n * 2)
+            a1q_scale = block_scale_interleave(a1q_scale)
 
         return a1q, a1q_scale, None, topk_ids, topk_weights
 
diff --git a/vllm/utils/flashinfer.py b/vllm/utils/flashinfer.py
index fd8b384a616f5..1ddafbae7fc0e 100644
--- a/vllm/utils/flashinfer.py
+++ b/vllm/utils/flashinfer.py
@@ -69,8 +69,8 @@ flashinfer_trtllm_fp8_block_scale_moe = _lazy_import_wrapper(
 flashinfer_cutlass_fused_moe = _lazy_import_wrapper("flashinfer.fused_moe",
                                                     "cutlass_fused_moe")
 fp4_quantize = _lazy_import_wrapper("flashinfer", "fp4_quantize")
-fp4_swizzle_blockscale = _lazy_import_wrapper("flashinfer",
-                                              "fp4_swizzle_blockscale")
+block_scale_interleave = _lazy_import_wrapper("flashinfer",
+                                              "block_scale_interleave")
 
 # Special case for autotune since it returns a context manager
 autotune = _lazy_import_wrapper(
@@ -95,7 +95,7 @@ def has_flashinfer_cutlass_fused_moe() -> bool:
     required_functions = [
         ("flashinfer.fused_moe", "cutlass_fused_moe"),
         ("flashinfer", "fp4_quantize"),
-        ("flashinfer", "fp4_swizzle_blockscale"),
+        ("flashinfer", "block_scale_interleave"),
     ]
 
     for module_name, attr_name in required_functions:
@@ -110,7 +110,7 @@ __all__ = [
     "flashinfer_trtllm_fp8_block_scale_moe",
     "flashinfer_cutlass_fused_moe",
     "fp4_quantize",
-    "fp4_swizzle_blockscale",
+    "block_scale_interleave",
     "autotune",
     "has_flashinfer_moe",
     "has_flashinfer_cutlass_fused_moe",