diff --git a/tinygrad/mixin/__init__.py b/tinygrad/mixin/__init__.py
index 5766f30694..e4be275b9c 100644
--- a/tinygrad/mixin/__init__.py
+++ b/tinygrad/mixin/__init__.py
@@ -1,6 +1,15 @@
+from typing import Self
 from tinygrad.mixin.elementwise import ElementwiseMixin
 from tinygrad.mixin.movement import MovementMixin
+from tinygrad.uop.ops import _broadcast_shape
+from tinygrad.dtype import least_upper_dtype, sum_acc_dtype
 
 
 class OpMixin(ElementwiseMixin, MovementMixin):
-  pass
+  def _broadcasted(self, y, reverse=False) -> tuple[Self, Self]:
+    if not isinstance(y, type(self)): y = self.ufix(y)
+    x, y = (self, y) if not reverse else (y, self)
+    out_shape, out_dtype = _broadcast_shape(x.shape, y.shape), least_upper_dtype(x.dtype, y.dtype)
+    # NOTE: the backward cast is no-op in forward and uses sum_acc_dtype in the backward sum
+    return x.cast(sum_acc_dtype(x.dtype))._broadcast_to(out_shape).cast(x.dtype).cast(out_dtype), \
+           y.cast(sum_acc_dtype(y.dtype))._broadcast_to(out_shape).cast(y.dtype).cast(out_dtype)
diff --git a/tinygrad/tensor.py b/tinygrad/tensor.py
index 14bed09aea..446ff3b538 100644
--- a/tinygrad/tensor.py
+++ b/tinygrad/tensor.py
@@ -2952,17 +2952,6 @@ class Tensor(OpMixin):
     dtype = self.dtype if dtypes.is_float(self.dtype) or (dtypes.is_int(self.dtype) and isinstance(x, (int, InvalidType))) else None
     return Tensor(x, self.device, dtype, requires_grad=False)
 
-  def _broadcasted(self, y:Tensor|ConstType|UOp, reverse:bool=False) -> tuple[Tensor, Tensor]:
-    if not isinstance(y, Tensor): y = self.ufix(y)
-
-    x, y = (self, y) if not reverse else (y, self)
-
-    out_shape, out_dtype = _broadcast_shape(x.shape, y.shape), least_upper_dtype(x.dtype, y.dtype)
-
-    # NOTE: the backward cast is no-op in forward and uses sum_acc_dtype in the backward sum
-    return x.cast(sum_acc_dtype(x.dtype))._broadcast_to(out_shape).cast(x.dtype).cast(out_dtype), \
-           y.cast(sum_acc_dtype(y.dtype))._broadcast_to(out_shape).cast(y.dtype).cast(out_dtype)
-
   def sub(self, x:Tensor|ConstType, reverse=False) -> Tensor:
     """
     Subtracts `x` from `self`.