diff --git a/ngraph/test/backend/subtract.in.cpp b/ngraph/test/backend/subtract.in.cpp
index 396c7cc0987..15b51a758cc 100644
--- a/ngraph/test/backend/subtract.in.cpp
+++ b/ngraph/test/backend/subtract.in.cpp
@@ -87,3 +87,96 @@ NGRAPH_TEST(${BACKEND_NAME}, subtract_overload)
     handle->call_with_validate({result}, {a, b});
     EXPECT_TRUE(test::all_close_f((vector<float>{1, 2, 4, 8}), read_vector<float>(result)));
 }
+
+namespace
+{
+    template <typename Value>
+    void subtract_broadcst()
+    {
+        const auto element_type = ngraph::element::from<Value>();
+        const Shape shape_a{3, 2, 1};
+        const Shape shape_b{1, 6};
+        const Shape shape_o{3, 2, 6};
+        std::vector<Value> in_a{12, 24, 36, 48, 60, 72};
+        std::vector<Value> in_b{1, 2, 3, 4, 6, 1};
+        // clang-format off
+        std::vector<Value> out{11, 10,  9,  8,  6, 11,
+                               23, 22, 21, 20, 18, 23,
+
+                               35, 34, 33, 32, 30, 35,
+                               47, 46, 45, 44, 42, 47,
+
+                               59, 58, 57, 56, 54, 59,
+                               71, 70, 69, 68, 66, 71};
+        // clang-format on
+
+        auto A = make_shared<op::Parameter>(element_type, shape_a);
+        auto B = make_shared<op::Parameter>(element_type, shape_b);
+        auto f = make_shared<Function>(make_shared<op::v1::Subtract>(A, B), ParameterVector{A, B});
+
+        auto backend = runtime::Backend::create("${BACKEND_NAME}");
+
+        // Create some tensors for input/output
+        auto a = backend->create_tensor(element_type, shape_a, in_a.data());
+        auto b = backend->create_tensor(element_type, shape_b, in_b.data());
+        auto result = backend->create_tensor(element_type, shape_o);
+
+        auto handle = backend->compile(f);
+        handle->call_with_validate({result}, {a, b});
+        EXPECT_EQ(out, read_vector<Value>(result));
+    }
+} // namespace
+
+NGRAPH_TEST(${BACKEND_NAME}, subtract_int32_broadcast)
+{
+    subtract_broadcst<int32_t>();
+}
+
+NGRAPH_TEST(${BACKEND_NAME}, subtract_f32_broadcast)
+{
+    subtract_broadcst<float>();
+}
+
+NGRAPH_TEST(${BACKEND_NAME}, subtract_int32_scalar)
+{
+    Shape shape{};
+
+    auto A = make_shared<op::Parameter>(element::i32, shape);
+    auto B = make_shared<op::Parameter>(element::i32, shape);
+    auto f = make_shared<Function>(make_shared<op::v1::Subtract>(A, B), ParameterVector{A, B});
+
+    auto backend = runtime::Backend::create("${BACKEND_NAME}");
+
+    // Create some tensors for input/output
+    auto a = backend->create_tensor(element::i32, shape);
+    copy_data(a, vector<int32_t>{2});
+    auto b = backend->create_tensor(element::i32, shape);
+    copy_data(b, vector<int32_t>{8});
+    auto result = backend->create_tensor(element::i32, shape);
+
+    auto handle = backend->compile(f);
+    handle->call_with_validate({result}, {a, b});
+    EXPECT_EQ(vector<int32_t>{-6}, read_vector<int32_t>(result));
+}
+
+NGRAPH_TEST(${BACKEND_NAME}, subtract_f32_scalar)
+{
+    Shape shape{};
+
+    auto A = make_shared<op::Parameter>(element::f32, shape);
+    auto B = make_shared<op::Parameter>(element::f32, shape);
+    auto f = make_shared<Function>(make_shared<op::v1::Subtract>(A, B), ParameterVector{A, B});
+
+    auto backend = runtime::Backend::create("${BACKEND_NAME}");
+
+    // Create some tensors for input/output
+    auto a = backend->create_tensor(element::f32, shape);
+    copy_data(a, vector<float>{3.1});
+    auto b = backend->create_tensor(element::f32, shape);
+    copy_data(b, vector<float>{8});
+    auto result = backend->create_tensor(element::f32, shape);
+
+    auto handle = backend->compile(f);
+    handle->call_with_validate({result}, {a, b});
+    EXPECT_TRUE(test::all_close_f((vector<float>{-4.9}), read_vector<float>(result)));
+}