diff --git a/src/bindings/js/node/include/compiled_model.hpp b/src/bindings/js/node/include/compiled_model.hpp
index cc3a86eda2c624..f9c1927a3a90fb 100644
--- a/src/bindings/js/node/include/compiled_model.hpp
+++ b/src/bindings/js/node/include/compiled_model.hpp
@@ -68,6 +68,9 @@ class CompiledModelWrap : public Napi::ObjectWrap<CompiledModelWrap> {
      */
     Napi::Value get_inputs(const Napi::CallbackInfo& info);
 
+    /** @brief Exports the compiled model to bytes/output stream. */
+    Napi::Value export_model(const Napi::CallbackInfo& info);
+
 private:
     ov::CompiledModel _compiled_model;
 };
diff --git a/src/bindings/js/node/include/core_wrap.hpp b/src/bindings/js/node/include/core_wrap.hpp
index ac4637c5faf620..c1db1c45c3e930 100644
--- a/src/bindings/js/node/include/core_wrap.hpp
+++ b/src/bindings/js/node/include/core_wrap.hpp
@@ -84,6 +84,9 @@ class CoreWrap : public Napi::ObjectWrap<CoreWrap> {
                                    const Napi::String& device,
                                    const std::map<std::string, ov::Any>& config);
 
+    /** @brief Imports a compiled model from the previously exported one. */
+    Napi::Value import_model(const Napi::CallbackInfo& info);
+
     /** @brief Returns devices available for inference. */
     Napi::Value get_available_devices(const Napi::CallbackInfo& info);
 
diff --git a/src/bindings/js/node/lib/addon.ts b/src/bindings/js/node/lib/addon.ts
index 7f4f9fd917cd13..eccb5c38e114f4 100644
--- a/src/bindings/js/node/lib/addon.ts
+++ b/src/bindings/js/node/lib/addon.ts
@@ -36,6 +36,7 @@ interface Core {
     modelBuffer: Uint8Array, weightsBuffer?: Uint8Array): Promise<Model>;
   readModelSync(modelPath: string, weightsPath?: string): Model;
   readModelSync(modelBuffer: Uint8Array, weightsBuffer?: Uint8Array): Model;
+  importModelSync(modelStream: Buffer, device: string): CompiledModel;
   getAvailableDevices(): string[];
 }
 interface CoreConstructor {
@@ -56,6 +57,7 @@ interface CompiledModel {
   output(nameOrId?: string | number): Output;
   input(nameOrId?: string | number): Output;
   createInferRequest(): InferRequest;
+  exportModelSync(): Buffer;
 }
 
 interface Tensor {
diff --git a/src/bindings/js/node/src/compiled_model.cpp b/src/bindings/js/node/src/compiled_model.cpp
index d02f14a82bae1c..304ac9d299a3f2 100644
--- a/src/bindings/js/node/src/compiled_model.cpp
+++ b/src/bindings/js/node/src/compiled_model.cpp
@@ -19,7 +19,8 @@ Napi::Function CompiledModelWrap::get_class(Napi::Env env) {
                         InstanceMethod("input", &CompiledModelWrap::get_input),
                         InstanceAccessor<&CompiledModelWrap::get_inputs>("inputs"),
                         InstanceMethod("output", &CompiledModelWrap::get_output),
-                        InstanceAccessor<&CompiledModelWrap::get_outputs>("outputs")});
+                        InstanceAccessor<&CompiledModelWrap::get_outputs>("outputs"),
+                        InstanceMethod("exportModelSync", &CompiledModelWrap::export_model)});
 }
 
 Napi::Object CompiledModelWrap::wrap(Napi::Env env, ov::CompiledModel compiled_model) {
@@ -110,3 +111,10 @@ Napi::Value CompiledModelWrap::get_inputs(const Napi::CallbackInfo& info) {
 
     return js_inputs;
 }
+
+Napi::Value CompiledModelWrap::export_model(const Napi::CallbackInfo& info) {
+    std::stringstream _stream;
+    _compiled_model.export_model(_stream);
+    const auto& exported = _stream.str();
+    return Napi::Buffer<const char>::Copy(info.Env(), exported.c_str(), exported.size());
+}
diff --git a/src/bindings/js/node/src/core_wrap.cpp b/src/bindings/js/node/src/core_wrap.cpp
index d5d5d68ed6b1a6..96d827e77431cf 100644
--- a/src/bindings/js/node/src/core_wrap.cpp
+++ b/src/bindings/js/node/src/core_wrap.cpp
@@ -20,6 +20,7 @@ Napi::Function CoreWrap::get_class(Napi::Env env) {
                         InstanceMethod("readModel", &CoreWrap::read_model_async),
                         InstanceMethod("compileModelSync", &CoreWrap::compile_model_sync_dispatch),
                         InstanceMethod("compileModel", &CoreWrap::compile_model_async),
+                        InstanceMethod("importModelSync", &CoreWrap::import_model),
                         InstanceMethod("getAvailableDevices", &CoreWrap::get_available_devices)});
 }
 
@@ -230,3 +231,25 @@ Napi::Value CoreWrap::get_available_devices(const Napi::CallbackInfo& info) {
 
     return js_devices;
 }
+
+Napi::Value CoreWrap::import_model(const Napi::CallbackInfo& info) {
+    if (info.Length() != 2) {
+        reportError(info.Env(), "Invalid number of arguments -> " + std::to_string(info.Length()));
+        return info.Env().Undefined();
+    }
+    if (!info[0].IsBuffer()) {
+        reportError(info.Env(), "The first argument must be of type Buffer.");
+        return info.Env().Undefined();
+    }
+    if (!info[1].IsString()) {
+        reportError(info.Env(), "The second argument must be of type String.");
+        return info.Env().Undefined();
+    }
+    const auto& model_data = info[0].As<Napi::Buffer<uint8_t>>();
+    const auto model_stream = std::string(reinterpret_cast<char*>(model_data.Data()), model_data.Length());
+    std::stringstream _stream;
+    _stream << model_stream;
+
+    const auto& compiled = _core.import_model(_stream, std::string(info[1].ToString()));
+    return CompiledModelWrap::wrap(info.Env(), compiled);
+}
diff --git a/src/bindings/js/node/tests/basic.test.js b/src/bindings/js/node/tests/basic.test.js
index 8711ba3d33e3cc..07e0502053edd1 100644
--- a/src/bindings/js/node/tests/basic.test.js
+++ b/src/bindings/js/node/tests/basic.test.js
@@ -186,3 +186,17 @@ describe('Input class for ov::Input<const ov::Node>', () => {
   });
 
 });
+
+it('Test exportModel()/importModel()', () => {
+  const userStream = compiledModel.exportModelSync();
+  const newCompiled = core.importModelSync(userStream, 'CPU');
+  const epsilon = 0.5;
+  const tensor = Float32Array.from({ length: 3072 }, () => (Math.random() + epsilon));
+
+  const inferRequest = compiledModel.createInferRequest();
+  const res1 = inferRequest.infer([tensor]);
+  const newInferRequest = newCompiled.createInferRequest();
+  const res2 = newInferRequest.infer([tensor]);
+
+  assert.deepStrictEqual(res1['fc_out'].data[0], res2['fc_out'].data[0]);
+});