diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index 7e335c2712..af58f821b2 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -536,7 +536,7 @@ jobs:
           test/test_outerworld_range.py test/test_randomness.py test/test_nn.py test/test_arange.py test/test_tensor.py test/test_optim.py \
           test/test_setitem.py test/test_assign.py
     - name: Test const folding
-      run: CPU=1 RANGEIFY=1 python3 -m pytest -n auto --durations 20 test/test_const_folding.py -k "not test_cast_padded and not TestReduceOpsConstFolding and not TestMultiConstFolding"
+      run: CPU=1 RANGEIFY=1 python3 -m pytest -n auto --durations 20 test/test_const_folding.py -k "not test_cast_padded and not TestMultiConstFolding"
     - name: Test multitensor
       run: |
         CPU=1 RANGEIFY=1 python3 test/test_multitensor.py TestMultiTensor.test_matmul_shard_1_1 TestMultiTensor.test_simple_add_W TestMultiTensor.test_simple_reduce \
diff --git a/tinygrad/schedule/rangeify.py b/tinygrad/schedule/rangeify.py
index 8df51d966e..0b5061f4e8 100644
--- a/tinygrad/schedule/rangeify.py
+++ b/tinygrad/schedule/rangeify.py
@@ -5,6 +5,8 @@ from tinygrad.dtype import dtypes, PtrDType, ImageDType, AddrSpace
 from tinygrad.uop.ops import PatternMatcher, UPat, Ops, UOp, resolve, GroupOp, RewriteNotReady, _substitute, ssimplify
 from tinygrad.uop.symbolic import sym, symbolic_simple
 from tinygrad.helpers import argsort, prod, all_same, pluralize, getenv, RANGEIFY, Context, flatten, dedup
+from tinygrad.codegen.simplify import pm_reduce_simplify
+
 from tinygrad.schedule.kernelize import Kernel
 from tinygrad.uop.ops import track_rewrites, graph_rewrite, identity_element, sint, AxisType
 
@@ -606,7 +608,7 @@ def get_rangeify_map(sink:UOp) -> dict[UOp, UOp]:
   # rangeify
   tsink = graph_rewrite(tsink, pm_rangeify, ctx=RangeifyContext(), bottom_up=True, name="rangeify")
   # NOTE: sym (vs symbolic_simple) breaks things here because ranges with len 1 aren't handled right
-  tsink = graph_rewrite(tsink, symbolic_simple, name="symbolic")  # this supports const folding
+  tsink = graph_rewrite(tsink, symbolic_simple+pm_reduce_simplify, name="symbolic")  # this supports const folding
   tsink = graph_rewrite(tsink, pm_cleanups, bottom_up=True, name="remove costly buffers")
 
   # rebuild the sink with all the BUFFERIZEs with tags, this is what's ending up in the tensor graph