diff --git a/scripts/performance/configs/qwen/qwen3_llm_pretrain.py b/scripts/performance/configs/qwen/qwen3_llm_pretrain.py
index c7a295dbc3..522ecdbb10 100644
--- a/scripts/performance/configs/qwen/qwen3_llm_pretrain.py
+++ b/scripts/performance/configs/qwen/qwen3_llm_pretrain.py
@@ -312,7 +312,7 @@ def qwen3_30b_a3b_pretrain_config_h100(
     cfg.mixed_precision = precision_config
     cfg.comm_overlap = CommOverlapConfig(tp_comm_overlap=True)
     cfg.model.moe_flex_dispatcher_backend = base_cfg.moe_flex_dispatcher_backend
-    cfg.model.moe_token_dispatcher_type = "alltoall"
+    cfg.model.moe_token_dispatcher_type = "flex"
 
     set_qwen3_common_configs(cfg)
     set_workload_base_configs(cfg, base_cfg)
diff --git a/scripts/performance/configs/qwen/qwen3_workload_base_configs.py b/scripts/performance/configs/qwen/qwen3_workload_base_configs.py
index da506f3d18..71910ef12a 100644
--- a/scripts/performance/configs/qwen/qwen3_workload_base_configs.py
+++ b/scripts/performance/configs/qwen/qwen3_workload_base_configs.py
@@ -411,12 +411,11 @@
     BASE_QWEN3_30B_A3B_CONFIG,
     num_gpus=16,
     global_batch_size=1024,
-    pipeline_model_parallel_size=2,
-    virtual_pipeline_model_parallel_size=12,
-    moe_a2a_overlap=True,
+    expert_model_parallel_size=16,
+    moe_a2a_overlap=False,
     cuda_graph_impl="transformer_engine",
     cuda_graph_scope=["moe_router", "moe_preprocess"],
-    moe_flex_dispatcher_backend="deepep",
+    moe_flex_dispatcher_backend="hybridep",
 )
 
 
@@ -424,10 +423,9 @@
     BASE_QWEN3_30B_A3B_CONFIG,
     num_gpus=16,
     global_batch_size=1024,
-    pipeline_model_parallel_size=2,
-    virtual_pipeline_model_parallel_size=12,
-    moe_a2a_overlap=True,
-    moe_flex_dispatcher_backend="deepep",
+    expert_model_parallel_size=16,
+    moe_a2a_overlap=False,
+    moe_flex_dispatcher_backend="hybridep",
 )