diff --git a/.github/workflows/_e2e_test.yaml b/.github/workflows/_e2e_test.yaml
index b665e5fd..cda73a52 100644
--- a/.github/workflows/_e2e_test.yaml
+++ b/.github/workflows/_e2e_test.yaml
@@ -75,10 +75,10 @@ jobs:
           PYTORCH_NPU_ALLOC_CONF: max_split_size_mb:256
         if: ${{ inputs.type == 'light' }}
         run: |
-          # pytest -sv tests/e2e/singlecard/test_aclgraph_accuracy.py
-          # pytest -sv tests/e2e/singlecard/test_quantization.py
-          pytest -sv tests/e2e/singlecard/test_vlm.py::test_multimodal_vl
-          pytest -sv tests/e2e/singlecard/pooling/test_classification.py::test_classify_correctness
+          # pytest -sv --durations=0 tests/e2e/singlecard/test_aclgraph_accuracy.py
+          # pytest -sv --durations=0 tests/e2e/singlecard/test_quantization.py
+          pytest -sv --durations=0 tests/e2e/singlecard/test_vlm.py::test_multimodal_vl
+          pytest -sv --durations=0 tests/e2e/singlecard/pooling/test_classification.py::test_classify_correctness
 
       - name: Run e2e test
         env:
@@ -90,25 +90,25 @@ jobs:
           # We found that if running aclgraph tests in batch, it will cause AclmdlRICaptureBegin error. So we run
           # the test separately.
 
-          pytest -sv tests/e2e/singlecard/test_completion_with_prompt_embeds.py
-          pytest -sv tests/e2e/singlecard/test_aclgraph_accuracy.py
-          pytest -sv tests/e2e/singlecard/test_aclgraph_mem.py
-          pytest -sv tests/e2e/singlecard/test_async_scheduling.py
-          pytest -sv tests/e2e/singlecard/test_camem.py
-          pytest -sv tests/e2e/singlecard/test_guided_decoding.py
+          pytest -sv --durations=0 tests/e2e/singlecard/test_completion_with_prompt_embeds.py
+          pytest -sv --durations=0 tests/e2e/singlecard/test_aclgraph_accuracy.py
+          pytest -sv --durations=0 tests/e2e/singlecard/test_aclgraph_mem.py
+          pytest -sv --durations=0 tests/e2e/singlecard/test_async_scheduling.py
+          pytest -sv --durations=0 tests/e2e/singlecard/test_camem.py
+          pytest -sv --durations=0 tests/e2e/singlecard/test_guided_decoding.py
           # torch 2.8 doesn't work with lora, fix me
-          #pytest -sv tests/e2e/singlecard/test_ilama_lora.py
-          pytest -sv tests/e2e/singlecard/test_profile_execute_duration.py
-          pytest -sv tests/e2e/singlecard/test_quantization.py
-          pytest -sv tests/e2e/singlecard/test_sampler.py
-          pytest -sv tests/e2e/singlecard/test_vlm.py
-          pytest -sv tests/e2e/singlecard/test_xlite.py
-          pytest -sv tests/e2e/singlecard/pooling/
-          pytest -sv tests/e2e/singlecard/compile/test_norm_quant_fusion.py
+          #pytest -sv --durations=0 tests/e2e/singlecard/test_ilama_lora.py
+          pytest -sv --durations=0 tests/e2e/singlecard/test_profile_execute_duration.py
+          pytest -sv --durations=0 tests/e2e/singlecard/test_quantization.py
+          pytest -sv --durations=0 tests/e2e/singlecard/test_sampler.py
+          pytest -sv --durations=0 tests/e2e/singlecard/test_vlm.py
+          pytest -sv --durations=0 tests/e2e/singlecard/test_xlite.py
+          pytest -sv --durations=0 tests/e2e/singlecard/pooling/
+          pytest -sv --durations=0 tests/e2e/singlecard/compile/test_norm_quant_fusion.py
 
           # ------------------------------------ v1 spec decode test ------------------------------------ #
-          pytest -sv tests/e2e/singlecard/spec_decode_v1/test_v1_mtp_correctness.py
-          pytest -sv tests/e2e/singlecard/spec_decode_v1/test_v1_spec_decode.py
+          pytest -sv --durations=0 tests/e2e/singlecard/spec_decode_v1/test_v1_mtp_correctness.py
+          pytest -sv --durations=0 tests/e2e/singlecard/spec_decode_v1/test_v1_spec_decode.py
 
   e2e-2-cards:
     name: multicard-2
@@ -170,7 +170,7 @@ jobs:
           VLLM_USE_MODELSCOPE: True
         if: ${{ inputs.type == 'light' }}
         run: |
-          pytest -sv tests/e2e/multicard/test_qwen3_moe.py::test_qwen3_moe_distributed_mp_tp2_ep
+          pytest -sv --durations=0 tests/e2e/multicard/test_qwen3_moe.py::test_qwen3_moe_distributed_mp_tp2_ep
 
       - name: Run vllm-project/vllm-ascend test (full)
         env:
@@ -178,30 +178,30 @@ jobs:
           VLLM_USE_MODELSCOPE: True
         if: ${{ inputs.type == 'full' }}
         run: |
-          pytest -sv tests/e2e/multicard/test_quantization.py
-          pytest -sv tests/e2e/multicard/test_aclgraph_capture_replay.py
-          pytest -sv tests/e2e/multicard/test_full_graph_mode.py
-          pytest -sv tests/e2e/multicard/test_data_parallel.py
-          pytest -sv tests/e2e/multicard/test_expert_parallel.py
-          pytest -sv tests/e2e/multicard/test_external_launcher.py
-          pytest -sv tests/e2e/multicard/test_single_request_aclgraph.py
-          pytest -sv tests/e2e/multicard/test_fused_moe_allgather_ep.py
+          pytest -sv --durations=0 tests/e2e/multicard/test_quantization.py
+          pytest -sv --durations=0 tests/e2e/multicard/test_aclgraph_capture_replay.py
+          pytest -sv --durations=0 tests/e2e/multicard/test_full_graph_mode.py
+          pytest -sv --durations=0 tests/e2e/multicard/test_data_parallel.py
+          pytest -sv --durations=0 tests/e2e/multicard/test_expert_parallel.py
+          pytest -sv --durations=0 tests/e2e/multicard/test_external_launcher.py
+          pytest -sv --durations=0 tests/e2e/multicard/test_single_request_aclgraph.py
+          pytest -sv --durations=0 tests/e2e/multicard/test_fused_moe_allgather_ep.py
           # torch 2.8 doesn't work with lora, fix me
-          #pytest -sv tests/e2e/multicard/test_ilama_lora_tp2.py
+          #pytest -sv --durations=0 tests/e2e/multicard/test_ilama_lora_tp2.py
 
           # To avoid oom, we need to run the test in a single process.
-          pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_multistream_moe
-          pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_Qwen3_W4A8DYNAMIC
-          pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_W4A8DYNAMIC
-          pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_sp_for_qwen3_moe
-          pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_fc2_for_qwen3_moe
-          pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_Qwen_Dense_with_flashcomm_v1
-          pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_Qwen_Dense_with_prefetch_mlp_weight
+          pytest -sv --durations=0 tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_multistream_moe
+          pytest -sv --durations=0 tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_Qwen3_W4A8DYNAMIC
+          pytest -sv --durations=0 tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_W4A8DYNAMIC
+          pytest -sv --durations=0 tests/e2e/multicard/test_offline_inference_distributed.py::test_sp_for_qwen3_moe
+          pytest -sv --durations=0 tests/e2e/multicard/test_offline_inference_distributed.py::test_fc2_for_qwen3_moe
+          pytest -sv --durations=0 tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_Qwen_Dense_with_flashcomm_v1
+          pytest -sv --durations=0 tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_Qwen_Dense_with_prefetch_mlp_weight
 
-          pytest -sv tests/e2e/multicard/test_prefix_caching.py
-          pytest -sv tests/e2e/multicard/test_pipeline_parallel.py
-          pytest -sv tests/e2e/multicard/test_qwen3_moe.py
-          pytest -sv tests/e2e/multicard/test_offline_weight_load.py
+          pytest -sv --durations=0 tests/e2e/multicard/test_prefix_caching.py
+          pytest -sv --durations=0 tests/e2e/multicard/test_pipeline_parallel.py
+          pytest -sv --durations=0 tests/e2e/multicard/test_qwen3_moe.py
+          pytest -sv --durations=0 tests/e2e/multicard/test_offline_weight_load.py
 
   e2e-4-cards:
     name: multicard-4
@@ -264,10 +264,10 @@ jobs:
           VLLM_WORKER_MULTIPROC_METHOD: spawn
           VLLM_USE_MODELSCOPE: True
         run: |
-          pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_multistream_moe
-          pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_W4A8DYNAMIC
-          pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_Kimi_K2_Thinking_W4A16
-          pytest -sv tests/e2e/multicard/test_data_parallel_tp2.py
+          pytest -sv --durations=0 tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_multistream_moe
+          pytest -sv --durations=0 tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_W4A8DYNAMIC
+          pytest -sv --durations=0 tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_Kimi_K2_Thinking_W4A16
+          pytest -sv --durations=0 tests/e2e/multicard/test_data_parallel_tp2.py
 
       - name: Install Ascend toolkit & triton_ascend (for Qwen3-Next-80B-A3B-Instruct)
         shell: bash -l {0}
@@ -283,4 +283,4 @@ jobs:
           VLLM_USE_MODELSCOPE: True
         run: |
           . /usr/local/Ascend/ascend-toolkit/8.3.RC2/bisheng_toolkit/set_env.sh
-          pytest -sv tests/e2e/multicard/test_qwen3_next.py
+          pytest -sv --durations=0 tests/e2e/multicard/test_qwen3_next.py