diff --git a/compatibility_matrices/compatibility_matrix.current.xml b/compatibility_matrices/compatibility_matrix.current.xml
index eb6ead3..baf31e2 100644
--- a/compatibility_matrices/compatibility_matrix.current.xml
+++ b/compatibility_matrices/compatibility_matrix.current.xml
@@ -396,7 +396,7 @@
     </hal>
     <hal format="aidl" optional="true">
         <name>android.hardware.neuralnetworks</name>
-        <version>1-2</version>
+        <version>1-3</version>
         <interface>
             <name>IDevice</name>
             <regex-instance>.*</regex-instance>
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 3499fc1..0b745a9 100644
--- a/neuralnetworks/aidl/android/hardware/neuralnetworks/OperationType.aidl
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/OperationType.aidl
@@ -4229,6 +4229,8 @@
      * 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.
      *
@@ -4237,6 +4239,9 @@
      *
      * 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,
     /**
@@ -5214,4 +5219,68 @@
      * * 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 872e4e8..5a6a080 100644
--- a/neuralnetworks/aidl/utils/Android.bp
+++ b/neuralnetworks/aidl/utils/Android.bp
@@ -38,7 +38,7 @@
         "neuralnetworks_utils_hal_common",
     ],
     shared_libs: [
-        "android.hardware.neuralnetworks-V2-ndk",
+        "android.hardware.neuralnetworks-V3-ndk",
         "libbinder_ndk",
         "libhidlbase",
         "libnativewindow",
diff --git a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Utils.h b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Utils.h
index 72cf73e..0353095 100644
--- a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Utils.h
+++ b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Utils.h
@@ -29,7 +29,7 @@
 namespace aidl::android::hardware::neuralnetworks::utils {
 
 constexpr auto kDefaultPriority = Priority::MEDIUM;
-constexpr auto kVersion = nn::Version::FEATURE_LEVEL_6;
+constexpr auto kVersion = nn::Version::FEATURE_LEVEL_7;
 
 template <typename Type>
 nn::Result<void> validate(const Type& halObject) {