diff --git a/python/sglang/srt/server_args.py b/python/sglang/srt/server_args.py
index 27d0adeeb..db1a3a433 100644
--- a/python/sglang/srt/server_args.py
+++ b/python/sglang/srt/server_args.py
@@ -450,6 +450,8 @@ class ServerArgs:
 
     # Model override args in JSON
     json_model_override_args: str = "{}"
+    nsa_index_topk_freq: Optional[int] = None
+    nsa_index_skip_topk_offset: Optional[int] = None
     preferred_sampling_params: Optional[str] = None
 
     # LoRA
@@ -755,6 +757,10 @@ class ServerArgs:
         # Validate SSL arguments early (before dummy-model short-circuit).
         self._handle_ssl_validation()
 
+        # Apply convenience model-config override flags before any code reads
+        # hf_config through get_model_config().
+        self._handle_nsa_index_model_override_args()
+
         # Validate CP shared KV constraints early (before dummy-model short-circuit).
         self._handle_cp_shared_kv_validation()
 
@@ -915,6 +921,43 @@ class ServerArgs:
                 "to be specified."
             )
 
+    def _handle_nsa_index_model_override_args(self):
+        """Merge first-class NSA index-cache flags into model config overrides."""
+
+        overrides: Dict[str, int] = {}
+        if self.nsa_index_topk_freq is not None:
+            if self.nsa_index_topk_freq < 1:
+                raise ValueError("--nsa-index-topk-freq must be a positive integer.")
+            overrides["index_topk_freq"] = self.nsa_index_topk_freq
+
+        if self.nsa_index_skip_topk_offset is not None:
+            if self.nsa_index_skip_topk_offset < 0:
+                raise ValueError(
+                    "--nsa-index-skip-topk-offset must be non-negative; use 0 "
+                    "or omit the flag to keep the model-config default."
+                )
+            if self.nsa_index_skip_topk_offset > 0:
+                overrides["index_skip_topk_offset"] = self.nsa_index_skip_topk_offset
+
+        if not overrides:
+            return
+
+        try:
+            model_override_args = json.loads(self.json_model_override_args or "{}")
+        except json.JSONDecodeError as exc:
+            raise ValueError(
+                "--json-model-override-args must be valid JSON when combined "
+                "with --nsa-index-topk-freq or --nsa-index-skip-topk-offset."
+            ) from exc
+
+        if not isinstance(model_override_args, dict):
+            raise ValueError("--json-model-override-args must decode to a JSON object.")
+
+        model_override_args.update(overrides)
+        self.json_model_override_args = json.dumps(
+            model_override_args, separators=(",", ":")
+        )
+
     def _handle_cp_shared_kv_validation(self):
         assert not (
             self.enable_nsa_prefill_cp_shared_kv
@@ -4648,6 +4691,29 @@ class ServerArgs:
             help="A dictionary in JSON string format used to override default model configurations.",
             default=ServerArgs.json_model_override_args,
         )
+        parser.add_argument(
+            "--nsa-index-topk-freq",
+            type=int,
+            default=ServerArgs.nsa_index_topk_freq,
+            help=(
+                "Shortcut for setting model config index_topk_freq without "
+                "editing config.json. Values greater than 1 enable NSA/DSA "
+                "indexer top-k sharing across layers. Equivalent to adding "
+                "'index_topk_freq' to --json-model-override-args; this flag "
+                "takes precedence if both are specified."
+            ),
+        )
+        parser.add_argument(
+            "--nsa-index-skip-topk-offset",
+            type=int,
+            default=ServerArgs.nsa_index_skip_topk_offset,
+            help=(
+                "Shortcut for setting model config index_skip_topk_offset "
+                "without editing config.json. Equivalent to adding "
+                "'index_skip_topk_offset' to --json-model-override-args; this "
+                "flag takes precedence if both are specified."
+            ),
+        )
         parser.add_argument(
             "--preferred-sampling-params",
             type=json.loads,
diff --git a/test/registered/unit/server_args/test_server_args.py b/test/registered/unit/server_args/test_server_args.py
index 55cb63d09..1c9f98c4d 100644
--- a/test/registered/unit/server_args/test_server_args.py
+++ b/test/registered/unit/server_args/test_server_args.py
@@ -92,6 +92,53 @@ def test_hicache_mem_layout_parser_accepts_layer_page_first():
     assert args.hicache_mem_layout == "layer_page_first"
 
 
+def test_nsa_index_topk_cli_overrides_model_config_json():
+    import argparse
+
+    parser = argparse.ArgumentParser()
+    ServerArgs.add_cli_args(parser)
+    raw_args = parser.parse_args(
+        [
+            "--model-path",
+            "dummy",
+            "--json-model-override-args",
+            '{"rope_scaling": {"factor": 2.0}, "index_topk_freq": 2}',
+            "--nsa-index-topk-freq",
+            "4",
+            "--nsa-index-skip-topk-offset",
+            "1",
+        ]
+    )
+    args = ServerArgs.from_cli_args(raw_args)
+    override_args = json.loads(args.json_model_override_args)
+    assert args.nsa_index_topk_freq == 4
+    assert args.nsa_index_skip_topk_offset == 1
+    assert override_args["rope_scaling"] == {"factor": 2.0}
+    assert override_args["index_topk_freq"] == 4
+    assert override_args["index_skip_topk_offset"] == 1
+
+
+def test_nsa_index_skip_topk_offset_zero_means_unset():
+    import argparse
+
+    parser = argparse.ArgumentParser()
+    ServerArgs.add_cli_args(parser)
+    raw_args = parser.parse_args(
+        [
+            "--model-path",
+            "dummy",
+            "--nsa-index-topk-freq",
+            "4",
+            "--nsa-index-skip-topk-offset",
+            "0",
+        ]
+    )
+    args = ServerArgs.from_cli_args(raw_args)
+    override_args = json.loads(args.json_model_override_args)
+    assert args.nsa_index_skip_topk_offset == 0
+    assert override_args == {"index_topk_freq": 4}
+
+
 class TestLoadBalanceMethod(unittest.TestCase):
     def test_non_pd_defaults_to_round_robin(self):
         server_args = ServerArgs(model_path="dummy", disaggregation_mode="null")