diff --git a/mlir/include/mlir/Transforms/Passes.td b/mlir/include/mlir/Transforms/Passes.td
index 8b8e6a1001574..7ac71ceeb588a 100644
--- a/mlir/include/mlir/Transforms/Passes.td
+++ b/mlir/include/mlir/Transforms/Passes.td
@@ -145,10 +145,6 @@ def LoopInvariantCodeMotion : Pass<"loop-invariant-code-motion"> {
 def PrintOpStats : Pass<"print-op-stats"> {
   let summary = "Print statistics of operations";
   let constructor = "mlir::createPrintOpStatsPass()";
-  let options = [
-    Option<"printAsJSON", "json", "bool", /*default=*/"false",
-           "print the stats as JSON">
-  ];
 }
 
 def SCCP : Pass<"sccp"> {
diff --git a/mlir/lib/Transforms/OpStats.cpp b/mlir/lib/Transforms/OpStats.cpp
index e7740abb3d19f..8adc4117f9542 100644
--- a/mlir/lib/Transforms/OpStats.cpp
+++ b/mlir/lib/Transforms/OpStats.cpp
@@ -27,9 +27,6 @@ struct PrintOpStatsPass : public PrintOpStatsBase<PrintOpStatsPass> {
   // Print summary of op stats.
   void printSummary();
 
-  // Print symmary of op stats in JSON.
-  void printSummaryInJSON();
-
 private:
   llvm::StringMap<int64_t> opCount;
   raw_ostream &os;
@@ -40,12 +37,8 @@ void PrintOpStatsPass::runOnOperation() {
   opCount.clear();
 
   // Compute the operation statistics for the currently visited operation.
-  getOperation()->walk(
-      [&](Operation *op) { ++opCount[op->getName().getStringRef()]; });
-  if (printAsJSON) {
-    printSummaryInJSON();
-  } else
-    printSummary();
+  getOperation()->walk([&](Operation *op) { ++opCount[op->getName().getStringRef()]; });
+  printSummary();
 }
 
 void PrintOpStatsPass::printSummary() {
@@ -87,23 +80,6 @@ void PrintOpStatsPass::printSummary() {
   }
 }
 
-void PrintOpStatsPass::printSummaryInJSON() {
-  SmallVector<StringRef, 64> sorted(opCount.keys());
-  llvm::sort(sorted);
-
-  os << "{\n";
-
-  for (unsigned i = 0, e = sorted.size(); i != e; ++i) {
-    const auto &key = sorted[i];
-    os << "  \"" << key << "\" : " << opCount[key];
-    if (i != e - 1)
-      os << ",\n";
-    else
-      os << "\n";
-  }
-  os << "}\n";
-}
-
 std::unique_ptr<Pass> mlir::createPrintOpStatsPass(raw_ostream &os) {
   return std::make_unique<PrintOpStatsPass>(os);
 }
diff --git a/mlir/test/CAPI/pass.c b/mlir/test/CAPI/pass.c
index f73398e817beb..63aba29e56f61 100644
--- a/mlir/test/CAPI/pass.c
+++ b/mlir/test/CAPI/pass.c
@@ -138,14 +138,14 @@ void testPrintPassPipeline() {
   mlirOpPassManagerAddOwnedPass(nestedFuncPm, printOpStatPass);
 
   // Print the top level pass manager
-  // CHECK: Top-level: builtin.module(func.func(print-op-stats{json=false}))
+  // CHECK: Top-level: builtin.module(func.func(print-op-stats))
   fprintf(stderr, "Top-level: ");
   mlirPrintPassPipeline(mlirPassManagerGetAsOpPassManager(pm), printToStderr,
                         NULL);
   fprintf(stderr, "\n");
 
   // Print the pipeline nested one level down
-  // CHECK: Nested Module: func.func(print-op-stats{json=false})
+  // CHECK: Nested Module: func.func(print-op-stats)
   fprintf(stderr, "Nested Module: ");
   mlirPrintPassPipeline(nestedModulePm, printToStderr, NULL);
   fprintf(stderr, "\n");
@@ -166,9 +166,8 @@ void testParsePassPipeline() {
   // Try parse a pipeline.
   MlirLogicalResult status = mlirParsePassPipeline(
       mlirPassManagerGetAsOpPassManager(pm),
-      mlirStringRefCreateFromCString(
-          "builtin.module(func.func(print-op-stats{json=false}),"
-          " func.func(print-op-stats{json=false}))"));
+      mlirStringRefCreateFromCString("builtin.module(func.func(print-op-stats),"
+                                     " func.func(print-op-stats))"));
   // Expect a failure, we haven't registered the print-op-stats pass yet.
   if (mlirLogicalResultIsSuccess(status)) {
     fprintf(
@@ -180,9 +179,8 @@ void testParsePassPipeline() {
   mlirRegisterTransformsPrintOpStats();
   status = mlirParsePassPipeline(
       mlirPassManagerGetAsOpPassManager(pm),
-      mlirStringRefCreateFromCString(
-          "builtin.module(func.func(print-op-stats{json=false}),"
-          " func.func(print-op-stats{json=false}))"));
+      mlirStringRefCreateFromCString("builtin.module(func.func(print-op-stats),"
+                                     " func.func(print-op-stats))"));
   // Expect a failure, we haven't registered the print-op-stats pass yet.
   if (mlirLogicalResultIsFailure(status)) {
     fprintf(stderr,
@@ -190,8 +188,8 @@ void testParsePassPipeline() {
     exit(EXIT_FAILURE);
   }
 
-  // CHECK: Round-trip: builtin.module(func.func(print-op-stats{json=false}),
-  // func.func(print-op-stats{json=false}))
+  // CHECK: Round-trip: builtin.module(func.func(print-op-stats),
+  // func.func(print-op-stats))
   fprintf(stderr, "Round-trip: ");
   mlirPrintPassPipeline(mlirPassManagerGetAsOpPassManager(pm), printToStderr,
                         NULL);
diff --git a/mlir/test/IR/op-stats-json.mlir b/mlir/test/IR/op-stats-json.mlir
deleted file mode 100644
index 40b0602a95897..0000000000000
--- a/mlir/test/IR/op-stats-json.mlir
+++ /dev/null
@@ -1,37 +0,0 @@
-// RUN: mlir-opt -allow-unregistered-dialect -print-op-stats=json %s -o=/dev/null 2>&1 | FileCheck %s
-
-func.func @main(tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32> {
-^bb0(%arg0: tensor<4xf32>, %arg1: tensor<4xf32>):
-  %0 = arith.addf %arg0, %arg1 : tensor<4xf32>
-  %1 = arith.addf %arg0, %arg1 : tensor<4xf32>
-  %2 = arith.addf %arg0, %arg1 : tensor<4xf32>
-  %3 = arith.addf %arg0, %arg1 : tensor<4xf32>
-  %4 = arith.addf %arg0, %arg1 : tensor<4xf32>
-  %5 = arith.addf %arg0, %arg1 : tensor<4xf32>
-  %10 = "xla.add"(%0, %arg1) : (tensor<4xf32>,tensor<4xf32>)-> tensor<4xf32>
-  %11 = "xla.add"(%0, %arg1) : (tensor<4xf32>,tensor<4xf32>)-> tensor<4xf32>
-  %12 = "xla.add"(%0, %arg1) : (tensor<4xf32>,tensor<4xf32>)-> tensor<4xf32>
-  %13 = "xla.add"(%0, %arg1) : (tensor<4xf32>,tensor<4xf32>)-> tensor<4xf32>
-  %14 = "xla.add"(%0, %arg1) : (tensor<4xf32>,tensor<4xf32>)-> tensor<4xf32>
-  %15 = "xla.add"(%0, %arg1) : (tensor<4xf32>,tensor<4xf32>)-> tensor<4xf32>
-  %16 = "xla.add"(%0, %arg1) : (tensor<4xf32>,tensor<4xf32>)-> tensor<4xf32>
-  %17 = "xla.add"(%0, %arg1) : (tensor<4xf32>,tensor<4xf32>)-> tensor<4xf32>
-  %18 = "xla.add"(%0, %arg1) : (tensor<4xf32>,tensor<4xf32>)-> tensor<4xf32>
-  %19 = "xla.add"(%0, %arg1) : (tensor<4xf32>,tensor<4xf32>)-> tensor<4xf32>
-  %20 = "xla.add"(%0, %arg1) : (tensor<4xf32>,tensor<4xf32>)-> tensor<4xf32>
-  %21 = "xla.add"(%0, %arg1) : (tensor<4xf32>,tensor<4xf32>)-> tensor<4xf32>
-  %22 = "xla.add"(%0, %arg1) : (tensor<4xf32>,tensor<4xf32>)-> tensor<4xf32>
-  %23 = "xla.add"(%0, %arg1) : (tensor<4xf32>,tensor<4xf32>)-> tensor<4xf32>
-  %24 = "xla.add"(%0, %arg1) : (tensor<4xf32>,tensor<4xf32>)-> tensor<4xf32>
-  %25 = "xla.add"(%0, %arg1) : (tensor<4xf32>,tensor<4xf32>)-> tensor<4xf32>
-  %26 = "xla.add"(%0, %arg1) : (tensor<4xf32>,tensor<4xf32>)-> tensor<4xf32>
-  %30 = "long_op_name"(%0, %arg1) : (tensor<4xf32>,tensor<4xf32>)-> tensor<4xf32>
-  return %1 : tensor<4xf32>
-}
-
-// CHECK: {
-// CHECK:   "arith.addf" : 6,
-// CHECK:   "func.return" : 1,
-// CHECK:   "long_op_name" : 1,
-// CHECK:   "xla.add" : 17
-// CHECK: }