diff --git a/docs/features/multimodal_inputs.md b/docs/features/multimodal_inputs.md
index 2b25dc7666c3..0adb32a7ac33 100644
--- a/docs/features/multimodal_inputs.md
+++ b/docs/features/multimodal_inputs.md
@@ -443,6 +443,8 @@ For Qwen2-VL and MiniCPM-V, we accept additional parameters alongside the embedd
         print(generated_text)
     ```
 
+For Qwen3-VL, the `image_embeds` should contain both the base image embedding and deepstack features.
+
 #### Audio Embeddings
 
 You can pass pre-computed audio embeddings similar to image embeddings:
diff --git a/vllm/model_executor/models/qwen3_vl.py b/vllm/model_executor/models/qwen3_vl.py
index 1d3929b936a9..58721303dfc8 100644
--- a/vllm/model_executor/models/qwen3_vl.py
+++ b/vllm/model_executor/models/qwen3_vl.py
@@ -103,7 +103,7 @@ from .qwen2_5_vl import (
     Qwen2_5_VLVideoInputs,
     Qwen2_5_VLVideoPixelInputs,
 )
-from .qwen2_vl import Qwen2VLProcessingInfo
+from .qwen2_vl import Qwen2VLMultiModalDataParser, Qwen2VLProcessingInfo
 from .qwen3 import Qwen3ForCausalLM, Qwen3Model
 from .utils import (
     AutoWeightsLoader,
@@ -884,7 +884,10 @@ class Qwen3VLDummyInputsBuilder(BaseDummyInputsBuilder[Qwen3VLProcessingInfo]):
 
 class Qwen3VLMultiModalProcessor(BaseMultiModalProcessor[Qwen3VLProcessingInfo]):
     def _get_data_parser(self) -> MultiModalDataParser:
-        return MultiModalDataParser(video_needs_metadata=True)
+        return Qwen2VLMultiModalDataParser(
+            self.info.get_hf_config().vision_config.spatial_merge_size,
+            video_needs_metadata=True,
+        )
 
     def _call_hf_processor(
         self,