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 e658990e95e5..02e1d1f1fd02 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.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 block_scale_interleave
+from vllm.utils.flashinfer import nvfp4_block_scale_interleave
 
 
 def get_local_sizes(local_tokens):
@@ -92,7 +92,7 @@ def prepare(
                                            dim=0,
                                            sizes=get_local_sizes(local_tokens))
             a1_m, a1_n = a1q.shape
-            a1q_scale = block_scale_interleave(a1q_scale)
+            a1q_scale = nvfp4_block_scale_interleave(a1q_scale)
 
         return a1q, a1q_scale, None, topk_ids, topk_weights
 
diff --git a/vllm/model_executor/layers/quantization/modelopt.py b/vllm/model_executor/layers/quantization/modelopt.py
index 460334d77f0a..81611ed07aaa 100644
--- a/vllm/model_executor/layers/quantization/modelopt.py
+++ b/vllm/model_executor/layers/quantization/modelopt.py
@@ -1254,8 +1254,8 @@ def apply(
                 x, layer.w13_weight, layer.w2_weight), (
                     "Flashinfer CUTLASS Fused MoE not applicable!")
 
-            a1_gscale = torch.min(layer.w13_input_scale_quant)
-            a2_gscale = torch.min(layer.w2_input_scale_quant)
+            a1_gscale = layer.w13_input_scale_quant
+            a2_gscale = layer.w2_input_scale_quant
             extra_expert_args = {
                 'g1_alphas': layer.g1_alphas,
                 'g2_alphas': layer.g2_alphas,
diff --git a/vllm/utils/flashinfer.py b/vllm/utils/flashinfer.py
index 1ddafbae7fc0..b25e3a49f181 100644
--- a/vllm/utils/flashinfer.py
+++ b/vllm/utils/flashinfer.py
@@ -69,8 +69,8 @@ def wrapper(*args, **kwargs):
 flashinfer_cutlass_fused_moe = _lazy_import_wrapper("flashinfer.fused_moe",
                                                     "cutlass_fused_moe")
 fp4_quantize = _lazy_import_wrapper("flashinfer", "fp4_quantize")
-block_scale_interleave = _lazy_import_wrapper("flashinfer",
-                                              "block_scale_interleave")
+nvfp4_block_scale_interleave = _lazy_import_wrapper(
+    "flashinfer", "nvfp4_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", "block_scale_interleave"),
+        ("flashinfer", "nvfp4_block_scale_interleave"),
     ]
 
     for module_name, attr_name in required_functions:
@@ -110,7 +110,7 @@ def has_flashinfer_cutlass_fused_moe() -> bool:
     "flashinfer_trtllm_fp8_block_scale_moe",
     "flashinfer_cutlass_fused_moe",
     "fp4_quantize",
-    "block_scale_interleave",
+    "nvfp4_block_scale_interleave",
     "autotune",
     "has_flashinfer_moe",
     "has_flashinfer_cutlass_fused_moe",