diff --git a/bash/run.py b/bash/run.py
index 303e4fa..0b229ca 100644
--- a/bash/run.py
+++ b/bash/run.py
@@ -252,6 +252,8 @@ def build_parser():
                         help='Disable thinking mode (default)')
     parser.add_argument('--thinking-max-tokens-scale', type=float, default=1.0,
                         help='Scale max_tokens by this factor when --thinking is enabled (default: %(default)s)')
+    parser.add_argument('--max-tokens-add', type=int, default=0,
+                        help='Add this many tokens to every benchmark max_tokens (applied after scale)')
 
     # Judge model
     parser.add_argument('--judge-model', default=DEFAULT_JUDGE_MODEL,
@@ -418,6 +420,7 @@ def build_task_config(
     judge_model_args: dict,
     run_idx: int = 0,
     thinking_max_tokens_scale: float = 1.0,
+    max_tokens_add: int = 0,
 ) -> TaskConfig:
     if run_idx > 0:
         work_dir = Path(output_dir) / dataset_name / f'seed_{seed}_run_{run_idx}'
@@ -432,6 +435,11 @@ def build_task_config(
         scaled = int(original_max_tokens * thinking_max_tokens_scale)
         generation_config['max_tokens'] = scaled
         print(f'   [thinking] max_tokens scaled: {original_max_tokens} -> {scaled}')
+    if max_tokens_add > 0:
+        original_max_tokens = generation_config.get('max_tokens', 32768)
+        new_max_tokens = original_max_tokens + max_tokens_add
+        generation_config['max_tokens'] = new_max_tokens
+        print(f'   max_tokens add: {original_max_tokens} -> {new_max_tokens}')
     dataset_args = deepcopy(ds_cfg.get('dataset_args', {}))
     dataset_args.setdefault('shuffle', True)
 
@@ -669,6 +677,7 @@ def main():
             str(model_output_dir), args.model, args.api_url, args.dataset_dir, judge_model_args,
             run_idx=run_idx,
             thinking_max_tokens_scale=args.thinking_max_tokens_scale,
+            max_tokens_add=args.max_tokens_add,
         )
         try:
             run_and_summarize(task_cfg, args.write_summary, str(model_output_dir), args.model,
diff --git a/myread.md b/myread.md
index e85dd54..951561d 100644
--- a/myread.md
+++ b/myread.md
@@ -376,6 +376,7 @@ python bash/run.py --model MyModel --api-url http://10.0.0.5:30000/v1
 | `--thinking` | `False` | 开启 sglang thinking 模式 |
 | `--no-thinking` | `False` | 关闭 thinking 模式（默认） |
 | `--thinking-max-tokens-scale` | `1.0` | `--thinking` 开启时，max_tokens 乘以该系数 |
+| `--max-tokens-add` | `0` | 在每个 benchmark 原 max_tokens 基础上直接增加 N tokens |
 | `--judge-model` | `DeepSeek/DeepSeek-V4-Pro` | 裁判模型名（LLM-as-judge） |
 | `--judge-api-url` | Vectron 地址 | 裁判模型 API 地址 |
 | `--judge-api-key` | 内置 key | 裁判模型 API key |
@@ -391,6 +392,9 @@ python bash/run.py --model MyModel --api-url http://10.0.0.5:30000/v1
 # 开启 thinking，max_tokens 自动翻倍
 python bash/run.py --suite full --thinking --thinking-max-tokens-scale 2.0 --limit none
 
+# 开启 thinking，每个 benchmark 原 max_tokens 再加 128k
+python bash/run.py --suite full --thinking --max-tokens-add 128000 --limit none
+
 # 自定义输出文件夹名
 python bash/run.py --suite full --thinking --folder-name my_exp_v1 --limit none
 ```