diff --git a/tests/entrypoints/openai_api/test_serving_chat_multistage_generation.py b/tests/entrypoints/openai_api/test_serving_chat_multistage_generation.py
index 639ddf6c6..b51debe2a 100644
--- a/tests/entrypoints/openai_api/test_serving_chat_multistage_generation.py
+++ b/tests/entrypoints/openai_api/test_serving_chat_multistage_generation.py
@@ -1,4 +1,5 @@
 # SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM-Omni project
 """Regression tests for multistage generation input construction."""
 
 from __future__ import annotations
@@ -94,6 +95,34 @@ def test_build_multistage_generation_inputs_applies_stage_specific_overrides(ser
     assert engine.default_sampling_params_list[2].lora_request is None
 
 
+@pytest.mark.parametrize("extra_body", [{}, {"bot_task": "think"}])
+def test_build_multistage_generation_inputs_leaves_mm_uuids_to_content_hash(serving_chat, extra_body):
+    """Fixed image UUIDs collide across requests with the same processor kwargs.
+
+    Leave UUID generation to vLLM so cache keys depend on image content.
+    """
+    from vllm_omni.entrypoints.openai.serving_chat import OmniOpenAIServingChat
+
+    engine = SimpleNamespace(
+        stage_configs=[
+            SimpleNamespace(stage_type="llm", is_comprehension=True),
+            SimpleNamespace(stage_type="diffusion", is_comprehension=False),
+        ],
+        default_sampling_params_list=[SamplingParams(temperature=0.0), OmniDiffusionSamplingParams()],
+    )
+    for images in ([Image.new("RGB", (32, 32), color="red")], [Image.new("RGB", (32, 32), c) for c in ("red", "blue")]):
+        engine_prompt, _ = OmniOpenAIServingChat._build_multistage_generation_inputs(
+            serving_chat,
+            engine=engine,
+            prompt="edit me",
+            extra_body=dict(extra_body),
+            reference_images=images,
+            gen_params=OmniDiffusionSamplingParams(seed=0),
+        )
+        assert engine_prompt["multi_modal_data"]
+        assert "multi_modal_uuids" not in engine_prompt
+
+
 def test_prepare_multistage_multimodal_inputs_defers_downstream_modalities(serving_chat):
     from vllm_omni.entrypoints.openai.serving_chat import OmniOpenAIServingChat
 
diff --git a/vllm_omni/entrypoints/openai/serving_chat.py b/vllm_omni/entrypoints/openai/serving_chat.py
index 5b3f2d54b..13b50b72f 100644
--- a/vllm_omni/entrypoints/openai/serving_chat.py
+++ b/vllm_omni/entrypoints/openai/serving_chat.py
@@ -3142,13 +3142,6 @@ class OmniOpenAIServingChat(OpenAIServingChat, AudioMixin):
             engine_prompt["mm_processor_kwargs"] = mm_processor_kwargs
         if engine_prompt_data is not None:
             engine_prompt["multi_modal_data"] = engine_prompt_data
-            # Provide multi_modal_uuids so that newer vLLM versions can
-            # validate multi_modal_data / multi_modal_uuids consistency.
-            # Generate one uuid per image when the value is a list (multi-image inputs).
-            engine_prompt["multi_modal_uuids"] = {
-                k: [f"img-{k}-{i}" for i in range(len(v))] if isinstance(v, list) else [f"img-{k}-0"]
-                for k, v in engine_prompt_data.items()
-            }
 
         comprehension_idx = None
         for idx, stage in enumerate(stage_configs):