diff --git a/runtime/bindings/python/tests/test_inference_engine/test_output_const_node.py b/runtime/bindings/python/tests/test_inference_engine/test_output_const_node.py
new file mode 100644
index 00000000000000..522e516a7b0a8e
--- /dev/null
+++ b/runtime/bindings/python/tests/test_inference_engine/test_output_const_node.py
@@ -0,0 +1,84 @@
+# Copyright (C) 2021 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+import os
+
+from ..conftest import model_path
+from openvino.impl import ConstOutput, Shape, PartialShape, Type
+
+from openvino import Core
+
+is_myriad = os.environ.get("TEST_DEVICE") == "MYRIAD"
+test_net_xml, test_net_bin = model_path(is_myriad)
+
+
+def model_path(is_myriad=False):
+    path_to_repo = os.environ["MODELS_PATH"]
+    if not is_myriad:
+        test_xml = os.path.join(path_to_repo, "models", "test_model", "test_model_fp32.xml")
+        test_bin = os.path.join(path_to_repo, "models", "test_model", "test_model_fp32.bin")
+    else:
+        test_xml = os.path.join(path_to_repo, "models", "test_model", "test_model_fp16.xml")
+        test_bin = os.path.join(path_to_repo, "models", "test_model", "test_model_fp16.bin")
+    return (test_xml, test_bin)
+
+
+def test_const_output_type(device):
+    ie = Core()
+    func = ie.read_model(model=test_net_xml, weights=test_net_bin)
+    exec_net = ie.compile_model(func, device)
+    node = exec_net.input(0)
+    assert isinstance(node, ConstOutput)
+
+
+def test_const_output_docs(device):
+    ie = Core()
+    func = ie.read_model(model=test_net_xml, weights=test_net_bin)
+    exec_net = ie.compile_model(func, device)
+    node = exec_net.input(0)
+    exptected_string = "openvino.impl.ConstOutput wraps ov::Output<Const ov::Node >"
+    assert node.__doc__ == exptected_string
+
+
+def test_const_output_get_index(device):
+    ie = Core()
+    func = ie.read_model(model=test_net_xml, weights=test_net_bin)
+    exec_net = ie.compile_model(func, device)
+    node = exec_net.input("data")
+    assert node.get_index() == 0
+
+
+def test_const_output_get_element_type(device):
+    ie = Core()
+    func = ie.read_model(model=test_net_xml, weights=test_net_bin)
+    exec_net = ie.compile_model(func, device)
+    node = exec_net.input("data")
+    assert node.get_element_type() == Type.f32
+
+
+def test_const_output_get_shape(device):
+    ie = Core()
+    func = ie.read_model(model=test_net_xml, weights=test_net_bin)
+    exec_net = ie.compile_model(func, device)
+    node = exec_net.input("data")
+    expected_shape = Shape([1, 3, 32, 32])
+    assert str(node.get_shape()) == str(expected_shape)
+
+
+def test_const_output_get_partial_shape(device):
+    ie = Core()
+    func = ie.read_model(model=test_net_xml, weights=test_net_bin)
+    exec_net = ie.compile_model(func, device)
+    node = exec_net.input("data")
+    expected_partial_shape = PartialShape([1, 3, 32, 32])
+    assert node.get_partial_shape() == expected_partial_shape
+
+
+def test_const_output_get_target_inputs(device):
+    ie = Core()
+    func = ie.read_model(model=test_net_xml, weights=test_net_bin)
+    exec_net = ie.compile_model(func, device)
+    outputs = exec_net.outputs
+    for node in outputs:
+        assert isinstance(node.get_target_inputs(), set)
+