diff --git a/.buildkite/hardware_tests/cpu.yaml b/.buildkite/hardware_tests/cpu.yaml
index b34585f253..ebfd1c7524 100644
--- a/.buildkite/hardware_tests/cpu.yaml
+++ b/.buildkite/hardware_tests/cpu.yaml
@@ -141,9 +141,22 @@ steps:
   commands:
     - |
       bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 45m "
-      pytest -x -v -s tests/models/multimodal/generation --ignore=tests/models/multimodal/generation/test_pixtral.py -m cpu_model --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB"
+      pytest -x -v -s tests/models/multimodal/generation --ignore=tests/models/multimodal/generation/test_pixtral.py --ignore=tests/models/multimodal/generation/test_qwen2_5_vl.py -m cpu_model --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB"
   parallelism: 4
 
+- label: CPU-Qwen2.5-VL Multimodal Tests
+  depends_on: []
+  device: intel_cpu
+  no_plugin: true
+  source_file_dependencies:
+  # - vllm/
+  - vllm/model_executor/layers/rotary_embedding
+  - tests/models/multimodal/generation/
+  commands:
+    - |
+      bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 40m "
+      VLLM_CI_ENV=0 pytest -x -v -s tests/models/multimodal/generation/test_qwen2_5_vl.py"
+
 - label: "Arm CPU Test"
   depends_on: []
   soft_fail: false
diff --git a/tests/models/multimodal/generation/test_qwen2_5_vl.py b/tests/models/multimodal/generation/test_qwen2_5_vl.py
index 15a14da24d..05a9b02998 100644
--- a/tests/models/multimodal/generation/test_qwen2_5_vl.py
+++ b/tests/models/multimodal/generation/test_qwen2_5_vl.py
@@ -5,6 +5,7 @@ import pytest
 
 from vllm.assets.image import ImageAsset
 from vllm.multimodal.video import sample_frames_from_video
+from vllm.platforms import current_platform
 
 from ....conftest import VIDEO_ASSETS
 
@@ -52,11 +53,15 @@ def _encoder_cudagraph_config(*, max_vision_items: int) -> dict:
 
 @pytest.mark.core_model
 @pytest.mark.parametrize("model", models)
-@pytest.mark.parametrize("video_pruning_rate", [0.0, 0.75])
+@pytest.mark.parametrize(
+    "video_pruning_rate", [0.0] if current_platform.is_cpu() else [0.0, 0.75]
+)
 @pytest.mark.parametrize("num_frames", [16])
 @pytest.mark.parametrize("dtype", [target_dtype])
 @pytest.mark.parametrize("max_tokens", [128])
-@pytest.mark.parametrize("use_bytecode_hook", [True, False])
+@pytest.mark.parametrize(
+    "use_bytecode_hook", [True] if current_platform.is_cpu() else [True, False]
+)
 def test_qwen2_5_vl_evs_functionality(
     vllm_runner,
     video_assets,
@@ -109,11 +114,15 @@ def test_qwen2_5_vl_evs_functionality(
 
 @pytest.mark.core_model
 @pytest.mark.parametrize("model", models)
-@pytest.mark.parametrize("video_pruning_rate", [0.0, 0.75])
+@pytest.mark.parametrize(
+    "video_pruning_rate", [0.0] if current_platform.is_cpu() else [0.0, 0.75]
+)
 @pytest.mark.parametrize("num_frames", [16])
 @pytest.mark.parametrize("dtype", [target_dtype])
 @pytest.mark.parametrize("max_tokens", [128])
-@pytest.mark.parametrize("use_bytecode_hook", [True, False])
+@pytest.mark.parametrize(
+    "use_bytecode_hook", [True] if current_platform.is_cpu() else [True, False]
+)
 def test_qwen2_5_vl_evs_batched_videos(
     vllm_runner,
     video_assets,
@@ -174,7 +183,9 @@ def test_qwen2_5_vl_evs_batched_videos(
 @pytest.mark.parametrize("model", models)
 @pytest.mark.parametrize("dtype", [target_dtype])
 @pytest.mark.parametrize("max_tokens", [128])
-@pytest.mark.parametrize("use_bytecode_hook", [True, False])
+@pytest.mark.parametrize(
+    "use_bytecode_hook", [True] if current_platform.is_cpu() else [True, False]
+)
 def test_qwen2_5_vl_window_attention_image(
     vllm_runner,
     model,
@@ -210,7 +221,9 @@ def test_qwen2_5_vl_window_attention_image(
 @pytest.mark.parametrize("model", models)
 @pytest.mark.parametrize("dtype", [target_dtype])
 @pytest.mark.parametrize("max_tokens", [128])
-@pytest.mark.parametrize("use_bytecode_hook", [True, False])
+@pytest.mark.parametrize(
+    "use_bytecode_hook", [True] if current_platform.is_cpu() else [True, False]
+)
 def test_qwen2_5_vl_window_attention_image_batch(
     vllm_runner,
     model,