diff --git a/tests/slow/test_grpo_slow.py b/tests/slow/test_grpo_slow.py
index c61a3bdb217..7ba974423ca 100644
--- a/tests/slow/test_grpo_slow.py
+++ b/tests/slow/test_grpo_slow.py
@@ -329,11 +329,11 @@ def reward_func(prompts, completions, **kwargs):
             assert lora_params_changed, "No LoRA parameters were updated during training."
 
         except torch.OutOfMemoryError as e:
-            self.skipTest(f"Skipping VLM training test due to insufficient GPU memory: {e}")
+            pytest.skip(f"Skipping VLM training test due to insufficient GPU memory: {e}")
         except Exception as e:
             # Check for other memory-related errors
             if any(keyword in str(e).lower() for keyword in ["memory", "cuda", "out of memory", "insufficient"]):
-                self.skipTest(f"Skipping VLM training test due to hardware constraints: {e}")
+                pytest.skip(f"Skipping VLM training test due to hardware constraints: {e}")
             else:
                 raise
 
@@ -474,11 +474,11 @@ def dummy_reward_func(completions, **kwargs):
                             "decrease gpu memory",
                         ]
                     ):
-                        self.skipTest(f"Skipping vLLM colocate test due to hardware constraints: {e}")
+                        pytest.skip(f"Skipping vLLM colocate test due to hardware constraints: {e}")
                     elif "KeyError" in str(e) and "RANK" in str(e):
-                        self.skipTest(f"Skipping vLLM colocate test due to environment setup issues: {e}")
+                        pytest.skip(f"Skipping vLLM colocate test due to environment setup issues: {e}")
                     elif "ValueError" in str(e) and "memory" in str(e).lower():
-                        self.skipTest(f"Skipping vLLM colocate test due to memory constraints: {e}")
+                        pytest.skip(f"Skipping vLLM colocate test due to memory constraints: {e}")
                     else:
                         raise
         finally:
@@ -541,11 +541,11 @@ def test_training_vllm(self):
                     "decrease gpu memory",
                 ]
             ):
-                self.skipTest(f"Skipping vLLM training test due to hardware constraints: {e}")
+                pytest.skip(f"Skipping vLLM training test due to hardware constraints: {e}")
             elif "KeyError" in str(e) and "RANK" in str(e):
-                self.skipTest(f"Skipping vLLM training test due to environment setup issues: {e}")
+                pytest.skip(f"Skipping vLLM training test due to environment setup issues: {e}")
             elif "ValueError" in str(e) and "memory" in str(e).lower():
-                self.skipTest(f"Skipping vLLM training test due to memory constraints: {e}")
+                pytest.skip(f"Skipping vLLM training test due to memory constraints: {e}")
             else:
                 raise
 
diff --git a/tests/test_gkd_trainer.py b/tests/test_gkd_trainer.py
index b311ce2b0b6..27d3c8ff3ba 100644
--- a/tests/test_gkd_trainer.py
+++ b/tests/test_gkd_trainer.py
@@ -259,7 +259,7 @@ def test_gkd_trainer_with_liger(self):
 
         # Ensure liger fused JSD path is enabled; if not, skip (runtime may lack system libs)
         if not getattr(trainer, "use_liger_gkd_loss", False):
-            self.skipTest("Liger fused JSD not enabled at runtime; skipping fused-loss assertion")
+            pytest.skip("Liger fused JSD not enabled at runtime; skipping fused-loss assertion")
 
         trainer.train()