diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperationType.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperationType.aidl
index 2eff11b..34506c8 100644
--- a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperationType.aidl
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperationType.aidl
@@ -138,4 +138,6 @@
   RANK = 101,
   BATCH_MATMUL = 102,
   PACK = 103,
+  MIRROR_PAD = 104,
+  REVERSE = 105,
 }
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/OperationType.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/OperationType.aidl
index 2ec91ac..aebe8d9 100644
--- a/neuralnetworks/aidl/android/hardware/neuralnetworks/OperationType.aidl
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/OperationType.aidl
@@ -4318,6 +4318,8 @@
      * Supported tensor {@link OperandType}:
      * * {@link OperandType::TENSOR_FLOAT16}
      * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM} (since NNAPI feature level 7)
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since NNAPI feature level 7)
      *
      * Supported tensor rank: from 1.
      *
@@ -4326,6 +4328,9 @@
      *
      * Outputs:
      * * 0: The output tensor of same shape as input0.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint can be different from inputs' scale and zeroPoint.
      */
     RSQRT = 83,
 
@@ -5322,4 +5327,68 @@
      * * 0: The packed tensor.
      */
     PACK = 103,
+
+    /**
+     * Pads a tensor with mirrored values.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
+     * * {@link OperandType::TENSOR_INT32}
+     *
+     * Supported tensor rank: from 1.
+     *
+     * Inputs:
+     * * 0: An n-D tensor, specifying the tensor to be padded.
+     * * 1: A 2-D tensor of {@link OperandType::TENSOR_INT32}, the paddings
+     *      for each spatial dimension of the input tensor. The shape of the
+     *      tensor must be {rank(input0), 2}.
+     *      padding[i, 0] specifies the number of elements to be padded in the
+     *      front of dimension i.
+     *      padding[i, 1] specifies the number of elements to be padded after the
+     *      end of dimension i.
+     * * 2: An {@link OperandType::INT32} scalar, specifying the mode.
+     *      Options are 0:REFLECT and 1:SYMMETRIC.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0. The
+     *      output tensor has the same rank as input0, and each
+     *      dimension of the output tensor has the same size as the
+     *      corresponding dimension of the input tensor plus the size
+     *      of the padding:
+     *          output0.dimension[i] =
+     *              padding[i, 0] + input0.dimension[i] + padding[i, 1]
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    MIRROR_PAD = 104,
+
+    /**
+     * Reverses a specified dimension of a tensor.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
+     * * {@link OperandType::TENSOR_INT32}
+     *
+     * Supported tensor rank: up to 8.
+     *
+     * Inputs:
+     * * 0: Input tensor of rank n.
+     * * 1: Axis tensor of type {@link OperandType::TENSOR_INT32} and shape [1],
+     *      specifying which dimension of the input tensor is to be reversed. The dimension
+     *      must be in the range [0, n).
+     *
+     * Outputs:
+     * * 0: The reversed tensor.
+     *      For {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensors,
+     *      the scales and zeroPoint must be the same as input0.
+     */
+    REVERSE = 105,
 }
diff --git a/neuralnetworks/aidl/utils/Android.bp b/neuralnetworks/aidl/utils/Android.bp
index bf8fc2d..37ad6d6 100644
--- a/neuralnetworks/aidl/utils/Android.bp
+++ b/neuralnetworks/aidl/utils/Android.bp
@@ -56,13 +56,21 @@
 }
 
 cc_library_static {
-    name: "neuralnetworks_utils_hal_aidl",
+    name: "neuralnetworks_utils_hal_aidl_v2",
     defaults: ["neuralnetworks_utils_hal_aidl_defaults"],
     shared_libs: [
         "android.hardware.neuralnetworks-V2-ndk",
     ],
 }
 
+cc_library_static {
+    name: "neuralnetworks_utils_hal_aidl",
+    defaults: ["neuralnetworks_utils_hal_aidl_defaults"],
+    shared_libs: [
+        "android.hardware.neuralnetworks-V3-ndk",
+    ],
+}
+
 // A cc_defaults that includes the latest non-experimental AIDL utilities and other AIDL libraries
 // that are commonly used together. Modules that always depend on the latest non-experimental
 // AIDL features can include this cc_defaults to avoid managing dependency versions explicitly.
@@ -71,7 +79,7 @@
     static_libs: [
         "android.hardware.common-V2-ndk",
         "android.hardware.graphics.common-V2-ndk",
-        "android.hardware.neuralnetworks-V2-ndk",
+        "android.hardware.neuralnetworks-V3-ndk",
         "neuralnetworks_utils_hal_aidl",
     ],
 }
diff --git a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Utils.h b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Utils.h
index b4e747e..a27487e 100644
--- a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Utils.h
+++ b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Utils.h
@@ -36,6 +36,8 @@
             return nn::kVersionFeatureLevel5;
         case 2:
             return nn::kVersionFeatureLevel6;
+        case 3:
+            return nn::kVersionFeatureLevel7;
         default:
             return std::nullopt;
     }
diff --git a/neuralnetworks/aidl/utils/test/DeviceTest.cpp b/neuralnetworks/aidl/utils/test/DeviceTest.cpp
index 4e9fc46..0366e7d 100644
--- a/neuralnetworks/aidl/utils/test/DeviceTest.cpp
+++ b/neuralnetworks/aidl/utils/test/DeviceTest.cpp
@@ -159,6 +159,8 @@
             return "v1";
         case nn::Version::Level::FEATURE_LEVEL_6:
             return "v2";
+        case nn::Version::Level::FEATURE_LEVEL_7:
+            return "v3";
         default:
             LOG(FATAL) << "Invalid AIDL version: " << version;
             return "invalid";
@@ -893,7 +895,8 @@
 }
 
 INSTANTIATE_TEST_SUITE_P(TestDevice, DeviceTest,
-                         ::testing::Values(nn::kVersionFeatureLevel5, nn::kVersionFeatureLevel6),
+                         ::testing::Values(nn::kVersionFeatureLevel5, nn::kVersionFeatureLevel6,
+                                           nn::kVersionFeatureLevel7),
                          printDeviceTest);
 
 }  // namespace aidl::android::hardware::neuralnetworks::utils