diff --git a/test/test_uops.py b/test/test_uops.py
index 0f87d45f2e..c77f1985c9 100644
--- a/test/test_uops.py
+++ b/test/test_uops.py
@@ -405,6 +405,14 @@ class TestUOpMethod(unittest.TestCase):
     self.assertEqual(const._device, None)
     with self.assertRaises(AssertionError): const.device
 
+  def test_const_arg(self):
+    var = UOp.variable("a", 1, 10)
+    with self.assertRaises(AssertionError): UOp.const(dtypes.int, var).const_arg
+    const = UOp.const(dtypes.int, 1)
+    self.assertEqual(const.const_arg, 1)
+    tensor_const = UOp(Ops.VIEW, dtypes.int, (UOp.new_buffer(Device.DEFAULT, 1, dtypes.int), const), ShapeTracker.from_shape(()))
+    self.assertEqual(tensor_const.const_arg, 1)
+
 class TestUOpStr(unittest.TestCase):
   def test_uop_str(self):
     a = UOp(Ops.CONST, dtypes.float, (), 2.0) + UOp(Ops.CONST, dtypes.float, (), 3.0)
diff --git a/tinygrad/engine/lazy.py b/tinygrad/engine/lazy.py
index 453f4b9930..a23c173fd2 100644
--- a/tinygrad/engine/lazy.py
+++ b/tinygrad/engine/lazy.py
@@ -116,6 +116,10 @@ class LazyBuffer(MathTrait):
 
   def is_unrealized_const(self): return self.base.realized is None and self.base.op is Ops.CONST and not isinstance(self.base.arg, UOp)
   def is_unrealized_unmasked_const(self): return self.is_unrealized_const() and all(v.mask is None for v in self.st.views)
+  @property
+  def const_arg(self) -> ConstType:
+    assert self.base.op is Ops.CONST and isinstance(self.base.arg, get_args(ConstType)), f"const_arg called on {self}"
+    return self.base.arg
 
   def _copy(self, device:str) -> LazyBuffer:
     assert self.st.contiguous and self.size == self.base.size, f"can only copy contig {self} {self.base}"
diff --git a/tinygrad/engine/schedule.py b/tinygrad/engine/schedule.py
index 864bf87c86..8f54e700d0 100644
--- a/tinygrad/engine/schedule.py
+++ b/tinygrad/engine/schedule.py
@@ -343,7 +343,7 @@ def simplify_reduceop(ctx, reduce:UOp, x:UOp) -> Optional[UOp]:
   # remove reduce on unmasked const
   if all_int(x.shape) and x.is_unrealized_unmasked_const():
     prshape = prod(unwrap(x.st).shape[i] for i in reduce.arg[1])
-    ret = x.base.src[1].arg
+    ret = x.const_arg
     match reduce.arg[0]:
       case Ops.ADD: ret *= prshape
       case Ops.MUL: ret **= prshape
diff --git a/tinygrad/ops.py b/tinygrad/ops.py
index 8977dd0cf4..1effd76f87 100644
--- a/tinygrad/ops.py
+++ b/tinygrad/ops.py
@@ -1,5 +1,5 @@
 from __future__ import annotations
-from typing import Any, List, Optional, Set, Union, Tuple, Dict, Callable, cast, TYPE_CHECKING, Type, DefaultDict, Literal
+from typing import Any, List, Optional, Set, Union, Tuple, Dict, Callable, cast, TYPE_CHECKING, Type, DefaultDict, Literal, get_args
 import sys, time, functools, itertools, math, operator, hashlib, os, types, pickle, pathlib, inspect, weakref
 from enum import auto, IntEnum, Enum
 from dataclasses import dataclass, field
@@ -292,6 +292,14 @@ class UOp(MathTrait, metaclass=UOpMetaClass):
     assert ret.op is Ops.VIEW, f"st_arg trying to return {ret}"
     return ret.arg
   @property
+  def const_arg(self) -> ConstType:
+    match self.base.op:
+      case Ops.CONST: ret = self.base.arg
+      case Ops.VIEW: ret = self.base.src[1].const_arg
+      case op: raise AssertionError(f"const_arg called on {op}")
+    assert isinstance(ret, get_args(ConstType)), f"const_arg trying to return {ret}"
+    return ret
+  @property
   def axis_arg(self) -> Tuple[int, ...]:
     assert self.op in {Ops.REDUCE_AXIS, Ops.WMMA}, f"axis_arg called on {self.op}"
     ret = self.arg[1] if self.op is Ops.REDUCE_AXIS else self.arg[7]
diff --git a/tinygrad/tensor.py b/tinygrad/tensor.py
index 34c41a067b..12cc7faa8a 100644
--- a/tinygrad/tensor.py
+++ b/tinygrad/tensor.py
@@ -2995,7 +2995,7 @@ class Tensor(SimpleMathTrait):
     return x._broadcast_to(out_shape:=_broadcast_shape(x.shape, y.shape)), y._broadcast_to(out_shape)
 
   def _to_const_val(self, x:Union[Tensor, ConstType]) -> Union[Tensor, ConstType]:
-    return x.lazydata.base.arg if isinstance(x, Tensor) and isinstance(x.lazydata, LazyBuffer) and x.lazydata.is_unrealized_unmasked_const() \
+    return x.lazydata.const_arg if isinstance(x, Tensor) and isinstance(x.lazydata, LazyBuffer) and x.lazydata.is_unrealized_unmasked_const() \
       and not x.requires_grad and self._broadcasted(x)[0].shape == self.shape else x
 
   def add(self, x:Union[Tensor, ConstType], reverse=False) -> Tensor: