diff --git a/tests/models/quantization/test_gpt_oss.py b/tests/models/quantization/test_gpt_oss.py
index 7599a5a5e..21cc9555b 100644
--- a/tests/models/quantization/test_gpt_oss.py
+++ b/tests/models/quantization/test_gpt_oss.py
@@ -21,6 +21,7 @@ import lm_eval
 import pytest
 from packaging import version
 
+from vllm.platforms.rocm import on_gfx950
 from vllm.utils.torch_utils import cuda_device_count_stateless
 
 MODEL_ACCURACIES = {
@@ -83,11 +84,17 @@ class EvaluationConfig:
 @pytest.mark.parametrize("tp_size", [1, 2, 4, 8])
 @pytest.mark.parametrize("model_name, expected_accuracy", MODEL_ACCURACIES.items())
 def test_gpt_oss_attention_quantization(
-    model_name: str, tp_size: int, expected_accuracy: float
+    model_name: str,
+    tp_size: int,
+    expected_accuracy: float,
+    monkeypatch: pytest.MonkeyPatch,
 ):
     if tp_size > cuda_device_count_stateless():
         pytest.skip("Not enough GPUs to run this test case")
 
+    if "amd/gpt-oss-20b-MoE-Quant-W-MXFP4-A-FP8-KV-FP8" in model_name and on_gfx950():
+        monkeypatch.setenv("VLLM_ROCM_USE_AITER", "1")
+
     model_args = EvaluationConfig(model_name).get_model_args(tp_size)
 
     extra_run_kwargs = {