diff --git a/docs/design/cuda_graphs_multimodal.md b/docs/design/cuda_graphs_multimodal.md
index f44ef359df..74f244d02f 100644
--- a/docs/design/cuda_graphs_multimodal.md
+++ b/docs/design/cuda_graphs_multimodal.md
@@ -85,8 +85,9 @@ Models opt-in to encoder CUDA Graphs by implementing the [SupportsEncoderCudaGra
 
 | Architecture | Models | CG for Image | CG for Video |
 | ------------ | ------ | ------------ | ------------ |
-| `Qwen3VLForConditionalGeneration` | `Qwen3-VL` | ✅︎ | ✅︎ |
 | `Qwen2_5_VLForConditionalGeneration` | `Qwen2.5-VL` | ✅︎ | ✅︎ |
+| `Qwen3VLForConditionalGeneration` | `Qwen3-VL` | ✅︎ | ✅︎ |
+| `Qwen3_5ForConditionalGeneration` | `Qwen3.5` | ✅︎ | ✅︎ |
 
 !!! note
     Encoder CUDA Graphs have currently been tested with `--mm-encoder-attn-backend=FLASH_ATTN` and `--mm-encoder-attn-backend=FLASHINFER` on Blackwell GPUs.
diff --git a/examples/generate/multimodal/vision_language_offline.py b/examples/generate/multimodal/vision_language_offline.py
index 794f20dd0a..694467d7c5 100644
--- a/examples/generate/multimodal/vision_language_offline.py
+++ b/examples/generate/multimodal/vision_language_offline.py
@@ -2179,6 +2179,92 @@ def run_qwen3_vl_moe(questions: list[str], modality: str) -> ModelRequestData:
     )
 
 
+# Qwen3.5-Dense
+def run_qwen3_5(questions: list[str], modality: str) -> ModelRequestData:
+    model_name = "Qwen/Qwen3.5-4B"
+
+    mm_limit = {"image": 1, "video": 1} if modality == "image+video" else {modality: 1}
+    engine_args = EngineArgs(
+        model=model_name,
+        max_model_len=4096,
+        max_num_seqs=5,
+        mm_processor_kwargs={
+            "min_pixels": 28 * 28,
+            "max_pixels": 1280 * 28 * 28,
+            "fps": 1,
+        },
+        limit_mm_per_prompt=mm_limit,
+    )
+
+    image_placeholder = "<|vision_start|><|image_pad|><|vision_end|>"
+    video_placeholder = "<|vision_start|><|video_pad|><|vision_end|>"
+
+    if modality == "image":
+        placeholder = image_placeholder
+    elif modality == "video":
+        placeholder = video_placeholder
+    elif modality == "image+video":
+        placeholder = image_placeholder + video_placeholder
+
+    prompts = [
+        (
+            "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n"
+            f"<|im_start|>user\n{placeholder}"
+            f"{question}<|im_end|>\n"
+            "<|im_start|>assistant\n"
+        )
+        for question in questions
+    ]
+
+    return ModelRequestData(
+        engine_args=engine_args,
+        prompts=prompts,
+    )
+
+
+# Qwen3.5-MoE
+def run_qwen3_5_moe(questions: list[str], modality: str) -> ModelRequestData:
+    model_name = "Qwen/Qwen3.5-35B-A3B"
+
+    mm_limit = {"image": 1, "video": 1} if modality == "image+video" else {modality: 1}
+    engine_args = EngineArgs(
+        model=model_name,
+        max_model_len=4096,
+        max_num_seqs=5,
+        mm_processor_kwargs={
+            "min_pixels": 28 * 28,
+            "max_pixels": 1280 * 28 * 28,
+            "fps": 1,
+        },
+        limit_mm_per_prompt=mm_limit,
+    )
+
+    image_placeholder = "<|vision_start|><|image_pad|><|vision_end|>"
+    video_placeholder = "<|vision_start|><|video_pad|><|vision_end|>"
+
+    if modality == "image":
+        placeholder = image_placeholder
+    elif modality == "video":
+        placeholder = video_placeholder
+    elif modality == "image+video":
+        placeholder = image_placeholder + video_placeholder
+
+    prompts = [
+        (
+            "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n"
+            f"<|im_start|>user\n{placeholder}"
+            f"{question}<|im_end|>\n"
+            "<|im_start|>assistant\n"
+        )
+        for question in questions
+    ]
+
+    return ModelRequestData(
+        engine_args=engine_args,
+        prompts=prompts,
+    )
+
+
 # R-4B
 def run_r_vl(questions: list[str], modality: str) -> ModelRequestData:
     assert modality == "image"
@@ -2442,6 +2528,8 @@ model_example_map = {
     "qwen2_5_omni": run_qwen2_5_omni,
     "qwen3_vl": run_qwen3_vl,
     "qwen3_vl_moe": run_qwen3_vl_moe,
+    "qwen3_5": run_qwen3_5,
+    "qwen3_5_moe": run_qwen3_5_moe,
     "rvl": run_r_vl,
     "skywork_chat": run_skyworkr1v,
     "smolvlm": run_smolvlm,
@@ -2460,13 +2548,17 @@ MODELS_NEED_VIDEO_METADATA = [
     "molmo2",
     "qwen3_vl",
     "qwen3_vl_moe",
+    "qwen3_5",
+    "qwen3_5_moe",
 ]
 
 
 MODELS_SUPPORT_VIT_CUDA_GRAPH = [
+    "qwen2_5_vl",
     "qwen3_vl",
     "qwen3_vl_moe",
-    "qwen2_5_vl",
+    "qwen3_5",
+    "qwen3_5_moe",
 ]
 
 
diff --git a/tests/models/multimodal/generation/test_vit_cudagraph.py b/tests/models/multimodal/generation/test_vit_cudagraph.py
index fb7bdfc862..8ea19c2c07 100644
--- a/tests/models/multimodal/generation/test_vit_cudagraph.py
+++ b/tests/models/multimodal/generation/test_vit_cudagraph.py
@@ -42,6 +42,18 @@ def qwen_vl_chat_template(content: str) -> str:
 
 
 MODEL_CONFIGS: dict[str, VitCudagraphTestConfig] = {
+    "qwen2_5_vl": VitCudagraphTestConfig(
+        model="Qwen/Qwen2.5-VL-3B-Instruct",
+        image_prompt=qwen_vl_chat_template(
+            "<|vision_start|><|image_pad|><|vision_end|>What is in this image?"
+        ),
+        video_prompt=qwen_vl_chat_template(
+            "<|vision_start|><|video_pad|><|vision_end|>"
+            "Describe this video in one sentence."
+        ),
+        needs_video_metadata=False,
+        marks=[pytest.mark.core_model],
+    ),
     "qwen3_vl": VitCudagraphTestConfig(
         model="Qwen/Qwen3-VL-2B-Instruct",
         image_prompt=qwen_vl_chat_template(
@@ -54,8 +66,8 @@ MODEL_CONFIGS: dict[str, VitCudagraphTestConfig] = {
         needs_video_metadata=True,
         marks=[pytest.mark.core_model],
     ),
-    "qwen2_5_vl": VitCudagraphTestConfig(
-        model="Qwen/Qwen2.5-VL-3B-Instruct",
+    "qwen3_5": VitCudagraphTestConfig(
+        model="Qwen/Qwen3.5-0.8B",
         image_prompt=qwen_vl_chat_template(
             "<|vision_start|><|image_pad|><|vision_end|>What is in this image?"
         ),
@@ -63,7 +75,7 @@ MODEL_CONFIGS: dict[str, VitCudagraphTestConfig] = {
             "<|vision_start|><|video_pad|><|vision_end|>"
             "Describe this video in one sentence."
         ),
-        needs_video_metadata=False,
+        needs_video_metadata=True,
         marks=[pytest.mark.core_model],
     ),
 }
diff --git a/vllm/model_executor/models/qwen3_5.py b/vllm/model_executor/models/qwen3_5.py
index dc761e69b4..57dd18b4af 100644
--- a/vllm/model_executor/models/qwen3_5.py
+++ b/vllm/model_executor/models/qwen3_5.py
@@ -565,6 +565,7 @@ class Qwen3_5ForConditionalGeneration(Qwen3VLForConditionalGeneration, IsHybrid)
         multimodal_config = vllm_config.model_config.multimodal_config
 
         self.config = config
+        self.model_config = vllm_config.model_config
         self.multimodal_config = multimodal_config
         self.use_data_parallel = multimodal_config.mm_encoder_tp_mode == "data"
         # Qwen3.5 does not support multimodal pruning (EVS).
@@ -778,6 +779,7 @@ class Qwen3_5MoeForConditionalGeneration(
         multimodal_config = vllm_config.model_config.multimodal_config
 
         self.config = config
+        self.model_config = vllm_config.model_config
         self.multimodal_config = multimodal_config
         self.use_data_parallel = multimodal_config.mm_encoder_tp_mode == "data"
         # Qwen3.5 does not support multimodal pruning (EVS).