diff --git a/.buildkite/intel_jobs/models_multimodal_intel.yaml b/.buildkite/intel_jobs/models_multimodal_intel.yaml
index 0e12690604..42d429f007 100644
--- a/.buildkite/intel_jobs/models_multimodal_intel.yaml
+++ b/.buildkite/intel_jobs/models_multimodal_intel.yaml
@@ -125,7 +125,5 @@ steps:
       pip install open-clip-torch --no-deps &&
       cd tests &&
       pytest -v -s models/multimodal/processing/test_tensor_schema.py
-      --deselect "tests/models/multimodal/processing/test_tensor_schema.py::test_model_tensor_schema[mistralai/Mistral-Large-3-675B-Instruct-2512-NVFP4]"
-      --deselect "tests/models/multimodal/processing/test_tensor_schema.py::test_model_tensor_schema[Qwen/Qwen2.5-Omni-7B-AWQ]"
       --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB'
   parallelism: 4
diff --git a/tests/models/multimodal/processing/test_common.py b/tests/models/multimodal/processing/test_common.py
index ea5aeb8e2c..f785a68f97 100644
--- a/tests/models/multimodal/processing/test_common.py
+++ b/tests/models/multimodal/processing/test_common.py
@@ -20,6 +20,7 @@ from vllm.multimodal import MULTIMODAL_REGISTRY
 from vllm.multimodal.cache import MultiModalProcessorOnlyCache
 from vllm.multimodal.inputs import batched_tensors_equal
 from vllm.multimodal.processing import BaseMultiModalProcessor, InputProcessingContext
+from vllm.platforms import current_platform
 from vllm.tokenizers import TokenizerLike, cached_tokenizer_from_config
 from vllm.utils.mistral import is_mistral_tokenizer
 
@@ -83,6 +84,12 @@ MM_DATA_PATCHES = {
     "glmasr": glmasr_patch_mm_data,
 }
 
+_XPU_EXCLUDED_MODEL_IDS = {
+    "baidu/Unlimited-OCR",
+    "mistralai/Mistral-Large-3-675B-Instruct-2512-NVFP4",
+    "Qwen/Qwen2.5-Omni-7B-AWQ",
+}
+
 
 def _iter_model_ids_to_test(model_arch_list: AbstractSet[str]):
     for model_arch in model_arch_list:
@@ -97,7 +104,14 @@ def _iter_model_ids_to_test(model_arch_list: AbstractSet[str]):
 
 
 def _get_model_ids_to_test(model_arch_list: AbstractSet[str]):
-    return list(_iter_model_ids_to_test(model_arch_list))
+    model_ids = list(_iter_model_ids_to_test(model_arch_list))
+
+    if current_platform.is_xpu():
+        for excluded_model_id in _XPU_EXCLUDED_MODEL_IDS:
+            while excluded_model_id in model_ids:
+                model_ids.remove(excluded_model_id)
+
+    return model_ids
 
 
 def get_model_ids_to_test():