diff --git a/src/plugins/intel_npu/tests/functional/behavior/infer_request_run.hpp b/src/plugins/intel_npu/tests/functional/behavior/infer_request_run.hpp
index 5bf1c6522bb32e..2889bf04f1dc2f 100644
--- a/src/plugins/intel_npu/tests/functional/behavior/infer_request_run.hpp
+++ b/src/plugins/intel_npu/tests/functional/behavior/infer_request_run.hpp
@@ -1066,7 +1066,6 @@ using InferRunTestsOnNewerDrivers = InferRequestRunTests;
 TEST_P(InferRunTestsOnNewerDrivers, MultipleCompiledModelsTestsSyncInfers) {
     // Skip test according to plugin specific disabledTestPatterns() (if any)
     SKIP_IF_CURRENT_TEST_IS_DISABLED()
-    // Load CNNNetwork to target plugins
     const int no_of_iterations = 256;
     std::array<ov::CompiledModel, no_of_iterations> compiled_models;
 
@@ -1074,7 +1073,6 @@ TEST_P(InferRunTestsOnNewerDrivers, MultipleCompiledModelsTestsSyncInfers) {
         OV_ASSERT_NO_THROW(compiled_models[i] = core->compile_model(ov_model, target_device, configuration));
     }
 
-    // Create InferRequests
     std::array<ov::InferRequest, no_of_iterations> infer_reqs;
     std::array<std::thread, no_of_iterations> infer_reqs_threads;
     for (int i = 0; i < no_of_iterations; ++i) {
diff --git a/src/plugins/intel_npu/tests/functional/behavior/ov_infer_request/compile_and_infer.cpp b/src/plugins/intel_npu/tests/functional/behavior/ov_infer_request/compile_and_infer.cpp
index 5a77908adabd0c..b0318d9b8f25f7 100644
--- a/src/plugins/intel_npu/tests/functional/behavior/ov_infer_request/compile_and_infer.cpp
+++ b/src/plugins/intel_npu/tests/functional/behavior/ov_infer_request/compile_and_infer.cpp
@@ -31,4 +31,11 @@ INSTANTIATE_TEST_SUITE_P(compatibility_smoke_BehaviorTests,
                                                 {ov::intel_npu::defer_weights_load(false)}})),
                          ov::test::utils::appendPlatformTypeTestName<OVCompileAndInferRequestTurbo>);
 
+INSTANTIATE_TEST_SUITE_P(compatibility_smoke_BehaviorTests,
+                         OVCompileAndInferRequesOnNewerDrivers,
+                         ::testing::Combine(::testing::Values(getConstantGraph(ov::element::f32)),
+                                            ::testing::Values(ov::test::utils::DEVICE_NPU),
+                                            ::testing::ValuesIn(configs)),
+                         ov::test::utils::appendPlatformTypeTestName<OVCompileAndInferRequest>);
+
 }  // namespace
diff --git a/src/plugins/intel_npu/tests/functional/internal/overload/compile_and_infer.hpp b/src/plugins/intel_npu/tests/functional/internal/overload/compile_and_infer.hpp
index 877eb6628f7645..10e30d525b68a4 100644
--- a/src/plugins/intel_npu/tests/functional/internal/overload/compile_and_infer.hpp
+++ b/src/plugins/intel_npu/tests/functional/internal/overload/compile_and_infer.hpp
@@ -299,6 +299,85 @@ TEST_P(OVCompileAndInferRequestTurbo, CompiledModelTurbo) {
     }
 }
 
+using OVCompileAndInferRequesOnNewerDrivers = OVCompileAndInferRequest;
+
+TEST_P(OVCompileAndInferRequesOnNewerDrivers, MultipleCompiledModelsTestsSyncInfers) {
+    // Skip test according to plugin specific disabledTestPatterns() (if any)
+    SKIP_IF_CURRENT_TEST_IS_DISABLED()
+
+    auto supportedProperties = core->get_property("NPU", supported_properties.name()).as<std::vector<PropertyName>>();
+    bool isTurboSupported =
+        std::any_of(supportedProperties.begin(), supportedProperties.end(), [](const PropertyName& property) {
+            return property == intel_npu::turbo.name();
+        });
+
+    if (isCommandQueueExtSupported()) {
+        ASSERT_TRUE(isTurboSupported);
+
+        const int no_of_iterations = 256;
+        std::array<ov::CompiledModel, no_of_iterations> compiled_models;
+
+        for (int i = 0; i < no_of_iterations; ++i) {
+            if (i % 4) {
+                configuration[intel_npu::turbo.name()] = false;
+            } else {
+                configuration[intel_npu::turbo.name()] = true;
+            }
+
+            if (i % 5 == 1) {
+                configuration[workload_type.name()] = WorkloadType::DEFAULT;
+            } else if (i % 5 == 2) {
+                configuration[workload_type.name()] = WorkloadType::EFFICIENT;
+            }
+
+            if (i % 3 == 0) {
+                configuration[ov::hint::model_priority.name()] = ov::hint::Priority::LOW;
+            } else if (i % 3 == 1) {
+                configuration[ov::hint::model_priority.name()] = ov::hint::Priority::MEDIUM;
+            } else if (i % 3 == 2) {
+                configuration[ov::hint::model_priority.name()] = ov::hint::Priority::HIGH;
+            }
+
+            OV_ASSERT_NO_THROW(compiled_models[i] = core->compile_model(function, target_device, configuration));
+        }
+
+        std::array<ov::InferRequest, no_of_iterations> infer_reqs;
+        std::array<std::thread, no_of_iterations> infer_reqs_threads;
+        for (int i = 0; i < no_of_iterations; ++i) {
+            OV_ASSERT_NO_THROW(infer_reqs[i] = compiled_models[i].create_infer_request());
+        }
+
+        for (int i = 0; i < no_of_iterations; ++i) {
+            infer_reqs_threads[i] = std::thread([&compiled_models, &infer_reqs, i]() -> void {
+                OV_ASSERT_NO_THROW(infer_reqs[i].infer());
+
+                ov::AnyMap modelConfiguration;
+                if (i % 5 == 0) {
+                    modelConfiguration[workload_type.name()] = WorkloadType::DEFAULT;
+                    OV_ASSERT_NO_THROW(compiled_models[i].set_property(modelConfiguration));
+                } else if (i % 5 == 1) {
+                    modelConfiguration[workload_type.name()] = WorkloadType::EFFICIENT;
+                    OV_ASSERT_NO_THROW(compiled_models[i].set_property(modelConfiguration));
+                } else if (i % 5 == 2) {
+                    modelConfiguration[workload_type.name()] = WorkloadType::DEFAULT;
+                    OV_ASSERT_NO_THROW(compiled_models[i].set_property(modelConfiguration));
+                } else if (i % 5 == 3) {
+                    modelConfiguration[workload_type.name()] = WorkloadType::EFFICIENT;
+                    OV_ASSERT_NO_THROW(compiled_models[i].set_property(modelConfiguration));
+                }
+
+                OV_ASSERT_NO_THROW(infer_reqs[i].infer());
+
+                infer_reqs[i] = {};
+            });
+        }
+
+        for (int i = 0; i < no_of_iterations; ++i) {
+            infer_reqs_threads[i].join();
+        }
+    }
+}
+
 }  // namespace behavior
 }  // namespace test
 }  // namespace ov