diff --git a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Utils.h b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Utils.h
index 4cec545cf0..b695f48550 100644
--- a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Utils.h
+++ b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Utils.h
@@ -44,6 +44,12 @@ bool valid(const Type& halObject) {
     return result.has_value();
 }
 
+template <typename Type>
+auto convertFromNonCanonical(const Type& nonCanonicalObject)
+        -> decltype(convert(nn::convert(nonCanonicalObject).value())) {
+    return convert(NN_TRY(nn::convert(nonCanonicalObject)));
+}
+
 }  // namespace android::hardware::neuralnetworks::V1_0::utils
 
 #endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_H
diff --git a/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Utils.h b/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Utils.h
index 052d88e922..09597a31f8 100644
--- a/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Utils.h
+++ b/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Utils.h
@@ -47,6 +47,12 @@ bool valid(const Type& halObject) {
     return result.has_value();
 }
 
+template <typename Type>
+auto convertFromNonCanonical(const Type& nonCanonicalObject)
+        -> decltype(convert(nn::convert(nonCanonicalObject).value())) {
+    return convert(NN_TRY(nn::convert(nonCanonicalObject)));
+}
+
 }  // namespace android::hardware::neuralnetworks::V1_1::utils
 
 #endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_1_UTILS_H
diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h
index c289fc89ab..323311439f 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h
@@ -54,6 +54,12 @@ bool valid(const Type& halObject) {
     return result.has_value();
 }
 
+template <typename Type>
+auto convertFromNonCanonical(const Type& nonCanonicalObject)
+        -> decltype(convert(nn::convert(nonCanonicalObject).value())) {
+    return convert(NN_TRY(nn::convert(nonCanonicalObject)));
+}
+
 }  // namespace android::hardware::neuralnetworks::V1_2::utils
 
 #endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_H
diff --git a/neuralnetworks/1.2/utils/src/Callbacks.cpp b/neuralnetworks/1.2/utils/src/Callbacks.cpp
index fefa122101..9f54bb12dd 100644
--- a/neuralnetworks/1.2/utils/src/Callbacks.cpp
+++ b/neuralnetworks/1.2/utils/src/Callbacks.cpp
@@ -43,6 +43,15 @@
 namespace android::hardware::neuralnetworks::V1_2::utils {
 namespace {
 
+nn::GeneralResult<nn::SharedPreparedModel> prepareModelCallback(
+        V1_0::ErrorStatus status, const sp<V1_0::IPreparedModel>& preparedModel) {
+    if (const auto dynamicPreparedModel =
+                V1_2::IPreparedModel::castFrom(preparedModel).withDefault(nullptr)) {
+        return V1_2::utils::prepareModelCallback(status, dynamicPreparedModel);
+    }
+    return V1_0::utils::prepareModelCallback(status, preparedModel);
+}
+
 nn::GeneralResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
 convertExecutionGeneralResultsHelper(const hidl_vec<OutputShape>& outputShapes,
                                      const Timing& timing) {
@@ -72,7 +81,7 @@ nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> executi
 
 Return<void> PreparedModelCallback::notify(V1_0::ErrorStatus status,
                                            const sp<V1_0::IPreparedModel>& preparedModel) {
-    mData.put(V1_0::utils::prepareModelCallback(status, preparedModel));
+    mData.put(prepareModelCallback(status, preparedModel));
     return Void();
 }
 
diff --git a/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Utils.h b/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Utils.h
index 29b0c806ff..3ce412cde6 100644
--- a/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Utils.h
+++ b/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Utils.h
@@ -49,6 +49,12 @@ bool valid(const Type& halObject) {
     return result.has_value();
 }
 
+template <typename Type>
+auto convertFromNonCanonical(const Type& nonCanonicalObject)
+        -> decltype(convert(nn::convert(nonCanonicalObject).value())) {
+    return convert(NN_TRY(nn::convert(nonCanonicalObject)));
+}
+
 }  // namespace android::hardware::neuralnetworks::V1_3::utils
 
 #endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_H
diff --git a/neuralnetworks/1.3/utils/src/Callbacks.cpp b/neuralnetworks/1.3/utils/src/Callbacks.cpp
index af76e6a87e..8e9fb833b1 100644
--- a/neuralnetworks/1.3/utils/src/Callbacks.cpp
+++ b/neuralnetworks/1.3/utils/src/Callbacks.cpp
@@ -28,6 +28,7 @@
 #include <nnapi/IPreparedModel.h>
 #include <nnapi/Result.h>
 #include <nnapi/Types.h>
+#include <nnapi/hal/1.0/Callbacks.h>
 #include <nnapi/hal/1.0/Conversions.h>
 #include <nnapi/hal/1.0/PreparedModel.h>
 #include <nnapi/hal/1.2/Callbacks.h>
@@ -46,6 +47,20 @@
 namespace android::hardware::neuralnetworks::V1_3::utils {
 namespace {
 
+nn::GeneralResult<nn::SharedPreparedModel> prepareModelCallback(
+        V1_0::ErrorStatus status, const sp<V1_0::IPreparedModel>& preparedModel) {
+    if (const auto dynamicPreparedModel =
+                V1_3::IPreparedModel::castFrom(preparedModel).withDefault(nullptr)) {
+        const auto currentVersionStatus = NN_TRY(convertFromNonCanonical(status));
+        return V1_3::utils::prepareModelCallback(currentVersionStatus, dynamicPreparedModel);
+    }
+    if (const auto dynamicPreparedModel =
+                V1_2::IPreparedModel::castFrom(preparedModel).withDefault(nullptr)) {
+        return V1_2::utils::prepareModelCallback(status, dynamicPreparedModel);
+    }
+    return V1_0::utils::prepareModelCallback(status, preparedModel);
+}
+
 nn::GeneralResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
 convertExecutionGeneralResultsHelper(const hidl_vec<V1_2::OutputShape>& outputShapes,
                                      const V1_2::Timing& timing) {
@@ -82,13 +97,13 @@ nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> executi
 
 Return<void> PreparedModelCallback::notify(V1_0::ErrorStatus status,
                                            const sp<V1_0::IPreparedModel>& preparedModel) {
-    mData.put(V1_0::utils::prepareModelCallback(status, preparedModel));
+    mData.put(prepareModelCallback(status, preparedModel));
     return Void();
 }
 
 Return<void> PreparedModelCallback::notify_1_2(V1_0::ErrorStatus status,
                                                const sp<V1_2::IPreparedModel>& preparedModel) {
-    mData.put(V1_2::utils::prepareModelCallback(status, preparedModel));
+    mData.put(prepareModelCallback(status, preparedModel));
     return Void();
 }