diff --git a/python/sglang/srt/server_args.py b/python/sglang/srt/server_args.py
index 48b7bd163..e97ce2769 100644
--- a/python/sglang/srt/server_args.py
+++ b/python/sglang/srt/server_args.py
@@ -755,6 +755,7 @@ class ServerArgs:
     enable_deterministic_inference: bool = False
     rl_on_policy_target: Optional[str] = None
     enable_attn_tp_input_scattered: bool = False
+    disable_attn_tp_gather: bool = False
     gc_threshold: Optional[List[int]] = None
     # Context parallelism used in the long sequence prefill phase of DeepSeek v3.2
     enable_dsa_prefill_context_parallel: bool = False
@@ -6526,6 +6527,18 @@ class ServerArgs:
             action="store_true",
             help="Allow input of attention to be scattered when only using tensor parallelism, to reduce the computational load of operations such as qkv latent.",
         )
+        parser.add_argument(
+            "--disable-attn-tp-gather",
+            action="store_true",
+            help="Disable scheduler-side attn_tp_gather (the upstream SP path "
+            "that pads num_tokens to attn_tp_size and pre-allocates a gathered "
+            "buffer). Use for models that manage SP scatter/gather at the "
+            "model level (e.g., perform their own all_gather/reduce_scatter "
+            "inside attention) and do not consume the upstream gathered_buffer. "
+            "Without this, the cuda graph runner pads num_tokens to attn_tp_size, "
+            "which can cause kernel autotuners to select wrong-sized variants "
+            "at small batches.",
+        )
         parser.add_argument(
             "--enable-dsa-prefill-context-parallel",
             dest="enable_dsa_prefill_context_parallel",
diff --git a/python/sglang/srt/utils/common.py b/python/sglang/srt/utils/common.py
index 31eb48e8f..c21ae98b1 100644
--- a/python/sglang/srt/utils/common.py
+++ b/python/sglang/srt/utils/common.py
@@ -3089,6 +3089,13 @@ def require_attn_tp_gather(server_args: ServerArgs):
     """
     Check if the input of attention is scattered.
     """
+    # Opt-out for models that manage SP scatter/gather at the model level
+    # and do not consume the upstream gathered_buffer. Without this, the
+    # cuda graph runner pads num_tokens to attn_tp_size, which can cause
+    # autotuners to pick suboptimal kernel variants at small batches.
+    if server_args.disable_attn_tp_gather:
+        return False
+
     from sglang.srt.layers.moe.utils import get_moe_a2a_backend
 
     assert server_args.moe_dense_tp_size in [1, None]