diff --git a/tests/python_tests/test_llm_pipeline.py b/tests/python_tests/test_llm_pipeline.py
index c26afe1dfa..f0ff6f00ea 100644
--- a/tests/python_tests/test_llm_pipeline.py
+++ b/tests/python_tests/test_llm_pipeline.py
@@ -184,6 +184,21 @@ def test_encoded_inputs(
     assert np.all(ov_res == hf_res)
 
 
+@pytest.mark.parametrize("llm_model", ["katuni4ka/tiny-random-phi3"], indirect=True)
+def test_readonly_input_tensor(ov_pipe: ov_genai.LLMPipeline) -> None:
+    input_ids = np.array([[1, 4, 42]], dtype=np.int64)
+    input_ids.flags.writeable = False
+
+    attention_mask = np.array([[1, 1, 1]], dtype=np.int64)
+    attention_mask.flags.writeable = False
+
+    inputs_ov = ov_genai.TokenizedInputs(ov.Tensor(input_ids), ov.Tensor(attention_mask))
+    ov_pipe.generate(inputs_ov, max_new_tokens=5)
+
+    readonly_tensor = ov.Tensor(input_ids)
+    ov_pipe.generate(readonly_tensor, max_new_tokens=5)
+
+
 @pytest.mark.parametrize("llm_model", MODELS_LIST, indirect=True)
 @pytest.mark.parametrize("generation_config_dict", TEST_CONFIGS)
 @pytest.mark.parametrize("prompts", BATCHED_PROMPTS)
@@ -878,4 +893,3 @@ def test_pipelines_generate_with_streaming(
         mock_streamer.assert_not_called()
     else:
         mock_streamer.assert_called()
-
diff --git a/tests/python_tests/test_llm_pipeline_static.py b/tests/python_tests/test_llm_pipeline_static.py
index 7c7e58d495..481a316baa 100644
--- a/tests/python_tests/test_llm_pipeline_static.py
+++ b/tests/python_tests/test_llm_pipeline_static.py
@@ -1,9 +1,11 @@
 # Copyright (C) 2024-2025 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
-from openvino_genai import GenerationConfig, Tokenizer, LLMPipeline, StreamerBase, ChatHistory
+from openvino_genai import GenerationConfig, Tokenizer, LLMPipeline, StreamerBase, ChatHistory, TokenizedInputs
 from pathlib import Path
 
+import openvino as ov
+import numpy as np
 import pytest
 import platform
 import sys
@@ -419,3 +421,19 @@ def generate_with_chat_history(pipe: LLMPipeline, questions: list[str]) -> ChatH
         f"NPU chat mode output:\n{answers_chat_mode_static}\n"
         f"NPU chat history output:\n{answers_chat_history_static}"
     )
+
+
+@pytest.mark.parametrize("llm_model", MODELS_LIST, indirect=True)
+@pytest.mark.parametrize("npu_config", PIPELINE_CONFIGS, indirect=True)
+def test_readonly_input_tensor(npu_model: LLMPipeline):
+    input_ids = np.array([[1, 4, 42]], dtype=np.int64)
+    input_ids.flags.writeable = False
+
+    attention_mask = np.array([[1, 1, 1]], dtype=np.int64)
+    attention_mask.flags.writeable = False
+
+    inputs_ov = TokenizedInputs(ov.Tensor(input_ids), ov.Tensor(attention_mask))
+    npu_model.generate(inputs_ov, max_new_tokens=5)
+
+    readonly_tensor = ov.Tensor(input_ids)
+    npu_model.generate(readonly_tensor, max_new_tokens=5)
diff --git a/tests/python_tests/test_vlm_pipeline.py b/tests/python_tests/test_vlm_pipeline.py
index 8168ad86cf..bad9a1407d 100644
--- a/tests/python_tests/test_vlm_pipeline.py
+++ b/tests/python_tests/test_vlm_pipeline.py
@@ -450,6 +450,22 @@ def streamer(word: str) -> bool:
     assert res.texts[0] == "".join(result_from_streamer)
 
 
+@parametrize_one_model_sdpa
+def test_vlm_readonly_image_tensor(ov_pipe_model: VlmModelInfo, cat_image_32x32):
+    ov_pipe = ov_pipe_model.pipeline
+    generation_config = _setup_generation_config(ov_pipe, max_new_tokens=5)
+
+    image_array = np.array(cat_image_32x32, dtype=np.uint8)
+    image_array.flags.writeable = False
+
+    readonly_image_tensor = openvino.Tensor(image_array)
+    ov_pipe.generate(
+        PROMPTS[0],
+        images=[readonly_image_tensor],
+        generation_config=generation_config,
+    )
+
+
 @pytest.mark.parametrize(
     "config", 
     [