diff --git a/examples/python/CuTeDSL/blackwell/grouped_blockscaled_gemm.py b/examples/python/CuTeDSL/blackwell/grouped_blockscaled_gemm.py
index 0f2dd5fadd..4bc99433d2 100644
--- a/examples/python/CuTeDSL/blackwell/grouped_blockscaled_gemm.py
+++ b/examples/python/CuTeDSL/blackwell/grouped_blockscaled_gemm.py
@@ -2490,6 +2490,9 @@ def create_tensors_abc_for_all_groups(
     strides_abc = []
     ptrs_abc = []
 
+    # FP4 packing: 2 elements per byte, so the K storage dimension is halved
+    k_fct = 2 if ab_dtype == cutlass.Float4E2M1FN else 1
+
     # Iterate through all groups and create tensors for each group
     for group_idx, (m, n, k, l) in enumerate(problem_sizes_mnkl):
         # Create tensors  A, B, C
@@ -2499,7 +2502,7 @@ def create_tensors_abc_for_all_groups(
             cute_tensor_a,
             ref_torch_fp32_tensor_a,
             stride_mk_a,
-        ) = create_tensor_and_stride(l, m, k, a_major == "m", ab_dtype)
+        ) = create_tensor_and_stride(l, m, k // k_fct, a_major == "m", ab_dtype)
 
         (
             ptr_b,
@@ -2507,7 +2510,7 @@ def create_tensors_abc_for_all_groups(
             cute_tensor_b,
             ref_torch_fp32_tensor_b,
             stride_nk_b,
-        ) = create_tensor_and_stride(l, n, k, b_major == "n", ab_dtype)
+        ) = create_tensor_and_stride(l, n, k // k_fct, b_major == "n", ab_dtype)
 
         (
             ptr_c,