diff --git a/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp b/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp
index 3caff5f4213939..077b7867ebc9c9 100644
--- a/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp
+++ b/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp
@@ -1446,27 +1446,27 @@ class LoopVectorizationCostModel {
 
   /// Returns true if the target machine supports masked store operation
   /// for the given \p DataType and kind of access to \p Ptr.
-  bool isLegalMaskedStore(Type *DataType, Value *Ptr, Align Alignment) {
+  bool isLegalMaskedStore(Type *DataType, Value *Ptr, Align Alignment) const {
     return Legal->isConsecutivePtr(Ptr) &&
            TTI.isLegalMaskedStore(DataType, Alignment);
   }
 
   /// Returns true if the target machine supports masked load operation
   /// for the given \p DataType and kind of access to \p Ptr.
-  bool isLegalMaskedLoad(Type *DataType, Value *Ptr, Align Alignment) {
+  bool isLegalMaskedLoad(Type *DataType, Value *Ptr, Align Alignment) const {
     return Legal->isConsecutivePtr(Ptr) &&
            TTI.isLegalMaskedLoad(DataType, Alignment);
   }
 
   /// Returns true if the target machine supports masked scatter operation
   /// for the given \p DataType.
-  bool isLegalMaskedScatter(Type *DataType, Align Alignment) {
+  bool isLegalMaskedScatter(Type *DataType, Align Alignment) const {
     return TTI.isLegalMaskedScatter(DataType, Alignment);
   }
 
   /// Returns true if the target machine supports masked gather operation
   /// for the given \p DataType.
-  bool isLegalMaskedGather(Type *DataType, Align Alignment) {
+  bool isLegalMaskedGather(Type *DataType, Align Alignment) const {
     return TTI.isLegalMaskedGather(DataType, Alignment);
   }
 
@@ -1497,8 +1497,9 @@ class LoopVectorizationCostModel {
   /// instructions that may divide by zero.
   /// If a non-zero VF has been calculated, we check if I will be scalarized
   /// predication for that VF.
-  bool isScalarWithPredication(Instruction *I,
-                               ElementCount VF = ElementCount::getFixed(1));
+  bool
+  isScalarWithPredication(Instruction *I,
+                          ElementCount VF = ElementCount::getFixed(1)) const;
 
   // Returns true if \p I is an instruction that will be predicated either
   // through scalar predication or masked load/store or masked gather/scatter.
@@ -1558,7 +1559,7 @@ class LoopVectorizationCostModel {
   /// Returns true if all loop blocks should be masked to fold tail loop.
   bool foldTailByMasking() const { return FoldTailByMasking; }
 
-  bool blockNeedsPredication(BasicBlock *BB) {
+  bool blockNeedsPredication(BasicBlock *BB) const {
     return foldTailByMasking() || Legal->blockNeedsPredication(BB);
   }
 
@@ -5198,8 +5199,8 @@ void LoopVectorizationCostModel::collectLoopScalars(ElementCount VF) {
   Scalars[VF].insert(Worklist.begin(), Worklist.end());
 }
 
-bool LoopVectorizationCostModel::isScalarWithPredication(Instruction *I,
-                                                         ElementCount VF) {
+bool LoopVectorizationCostModel::isScalarWithPredication(
+    Instruction *I, ElementCount VF) const {
   if (!blockNeedsPredication(I->getParent()))
     return false;
   switch(I->getOpcode()) {