diff --git "a/docs/source/Instruction/\345\221\275\344\273\244\350\241\214\345\217\202\346\225\260.md" "b/docs/source/Instruction/\345\221\275\344\273\244\350\241\214\345\217\202\346\225\260.md"
index 892f36a3f..4be2885d9 100644
--- "a/docs/source/Instruction/\345\221\275\344\273\244\350\241\214\345\217\202\346\225\260.md"
+++ "b/docs/source/Instruction/\345\221\275\344\273\244\350\241\214\345\217\202\346\225\260.md"
@@ -431,7 +431,7 @@ eval参数继承了infer参数，除此之外增加了以下参数：（注意:
 - `--eval_output_dir`: 评测结果输出路径, 默认是当前文件夹下的`eval_outputs`路径.
 - `--eval_batch_size`: 评测的输入batch_size, 默认是8
 - `--eval_nproc`: 并发数, 更大的并发数可以更快评测, 但显存占用也更高, 默认值16. 本参数仅对多模态评测生效.
-- `--deploy_timeout`: 评测之前会启动模型部署, 该参数设置部署的等待超时时长, 默认值为60, 代表一分钟.
+- `--deploy_timeout`: 评测之前会启动模型部署, 该参数设置部署的等待超时时长, 默认值为`1800`, 代表30分钟.
 
 
 ## app-ui 参数
diff --git a/docs/source_en/Instruction/Command-line-parameters.md b/docs/source_en/Instruction/Command-line-parameters.md
index 4d3f0d465..5c2ad187a 100644
--- a/docs/source_en/Instruction/Command-line-parameters.md
+++ b/docs/source_en/Instruction/Command-line-parameters.md
@@ -432,7 +432,7 @@ The eval parameters inherit from the infer parameters, and additionally include
 - `--eval_output_dir`: Output path for evaluation results, default is `eval_outputs` in the current folder.
 - `--eval_batch_size`: Input batch size for evaluation, default is 8.
 - `--eval_nproc`: Concurrent number, a bigger value means a faster evaluation and more cost of GPU memory, default 16. This only takes effects when running multi-modal evaluations.
-- `--deploy_timeout`: The timeout duration for waiting for model deployment before evaluation, default is 60, which means one minute.
+- `--deploy_timeout`: The timeout duration for waiting for model deployment before evaluation, default is `1800`, which means 30 minutes.
 
 ## app-ui Parameters
 
diff --git a/swift/llm/utils/argument.py b/swift/llm/utils/argument.py
index 57997a9ff..957253434 100644
--- a/swift/llm/utils/argument.py
+++ b/swift/llm/utils/argument.py
@@ -1606,7 +1606,7 @@ class EvalArguments(InferArguments):
     eval_output_dir: str = 'eval_outputs'
     eval_backend: Literal['Native', 'OpenCompass'] = 'OpenCompass'
     eval_batch_size: int = 8
-    deploy_timeout: int = 60
+    deploy_timeout: int = 1800
 
     do_sample: bool = False  # Note: for evaluation default is False
     temperature: float = 0.