diff --git a/vllm/engine/arg_utils.py b/vllm/engine/arg_utils.py
index 700713e32..8fac21687 100644
--- a/vllm/engine/arg_utils.py
+++ b/vllm/engine/arg_utils.py
@@ -614,6 +614,7 @@ class EngineArgs:
     )
 
     fail_on_environ_validation: bool = False
+    gdn_prefill_backend: Literal["flashinfer", "triton"] | None = None
 
     def __post_init__(self):
         # support `EngineArgs(compilation_config={...})`
@@ -1318,6 +1319,13 @@ class EngineArgs:
             help="Shutdown timeout in seconds. 0 = abort, >0 = wait.",
         )
 
+        parser.add_argument(
+            "--gdn-prefill-backend",
+            dest="gdn_prefill_backend",
+            choices=["flashinfer", "triton"],
+            default=None,
+            help="Select GDN prefill backend.",
+        )
         return parser
 
     @classmethod
@@ -1903,6 +1911,9 @@ class EngineArgs:
             ),
         )
 
+        if self.gdn_prefill_backend is not None:
+            self.additional_config["gdn_prefill_backend"] = self.gdn_prefill_backend
+
         config = VllmConfig(
             model_config=model_config,
             cache_config=cache_config,
diff --git a/vllm/model_executor/models/qwen3_next.py b/vllm/model_executor/models/qwen3_next.py
index cfd4c7a56..bbe30c719 100644
--- a/vllm/model_executor/models/qwen3_next.py
+++ b/vllm/model_executor/models/qwen3_next.py
@@ -161,13 +161,45 @@ def fi_chunk_gated_delta_rule(
 class ChunkGatedDeltaRule(CustomOp):
     def __init__(self) -> None:
         super().__init__()
-        if current_platform.is_cuda() and current_platform.is_device_capability(90):
-            logger.info_once(
-                "Using FlashInfer GDN prefill kernel on CUDA compute capability 90"
+        backend = (
+            str(
+                get_current_vllm_config().additional_config.get(
+                    "gdn_prefill_backend", "auto"
+                )
             )
-            self._forward_method = self.forward_cuda
+            .strip()
+            .lower()
+        )
+        supports_flashinfer = (
+            current_platform.is_cuda() and current_platform.is_device_capability(90)
+        )
+
+        if backend == "flashinfer":
+            use_flashinfer = supports_flashinfer
+            if not use_flashinfer:
+                logger.warning_once(
+                    "GDN prefill backend 'flashinfer' is selected but "
+                    "cannot use this kernel on the current platform. "
+                    "Falling back to Triton/FLA."
+                )
+        elif backend == "triton":
+            use_flashinfer = False
         else:
-            self._forward_method = self.forward_native
+            use_flashinfer = supports_flashinfer
+
+        if use_flashinfer:
+            logger.info_once("Using FlashInfer GDN prefill kernel")
+            logger.info_once(
+                "FlashInfer GDN prefill kernel is JIT-compiled; first run may "
+                "take a while to compile. Set `--gdn-prefill-backend triton` to "
+                "avoid JIT compile time."
+            )
+        else:
+            logger.info_once("Using Triton/FLA GDN prefill kernel")
+
+        self._forward_method = (
+            self.forward_cuda if use_flashinfer else self.forward_native
+        )
 
     def forward_cuda(
         self,