diff --git a/python/tvm/backend/cuda/operator/tile_primitive/copy/_common.py b/python/tvm/backend/cuda/operator/tile_primitive/copy/_common.py
index b1dd018f86ec..5ff8100c397d 100644
--- a/python/tvm/backend/cuda/operator/tile_primitive/copy/_common.py
+++ b/python/tvm/backend/cuda/operator/tile_primitive/copy/_common.py
@@ -320,7 +320,11 @@ def _extract_tile(layout, region):
     if isinstance(layout, ComposeLayout):
         return layout.tile_layout
     if isinstance(layout, SwizzleLayout):
-        extents = [int(end - start) for (start, end) in region]
+        # Region bounds may be constant-valued but remain as unfolded
+        # expressions after substitution. Simplify before converting to a
+        # Python integer; genuinely symbolic tile extents still raise.
+        analyzer = arith.Analyzer()
+        extents = [int(analyzer.simplify(end - start)) for (start, end) in region]
         return TileLayout(S[tuple(extents)])
     return layout
 
diff --git a/tests/python/tirx/test_layout.py b/tests/python/tirx/test_layout.py
index 5099a5e32445..998eab97d0c1 100644
--- a/tests/python/tirx/test_layout.py
+++ b/tests/python/tirx/test_layout.py
@@ -1655,6 +1655,17 @@ def case_compose_slice_2d():
     case_compose_slice_2d()
 
 
+def test_cuda_copy_extract_swizzle_tile_simplifies_constant_region_extents():
+    from tvm.tirx.cuda.operator.tile_primitive.copy._common import _extract_tile
+
+    zero = tvm.tirx.Mul(tvm.tirx.IntImm("int32", 0), tvm.tirx.IntImm("int32", 64))
+    end = tvm.tirx.Add(zero, tvm.tirx.IntImm("int32", 64))
+
+    tile = _extract_tile(SwizzleLayout(3, 3, 3), [(zero, end)])
+
+    assert [int(it.extent) for it in tile.shard] == [64]
+
+
 def test_apply_to_shape():
     """``apply_to_shape`` should give per-shard coord, preferring per-dim
     split when the input shape aligns with the layout's grouping."""