diff --git a/docs/references/benchmark_and_profiling.md b/docs/references/benchmark_and_profiling.md
index b5105724d..37c45457f 100644
--- a/docs/references/benchmark_and_profiling.md
+++ b/docs/references/benchmark_and_profiling.md
@@ -35,7 +35,7 @@
   python -m sglang.launch_server --model-path meta-llama/Llama-3.1-8B-Instruct
 
   # send profiling request from client
-  python -m sglang.bench_serving --backend sglang --model-path meta-llama/Llama-3.1-8B-Instruct --num-prompts 10 --sharegpt-output-len 100 --profile
+  python -m sglang.bench_serving --backend sglang --model meta-llama/Llama-3.1-8B-Instruct --num-prompts 10 --sharegpt-output-len 100 --profile
   ```
 
   Please make sure that the `SGLANG_TORCH_PROFILER_DIR` should be set at both server and client side, otherwise the trace file cannot be generated correctly . A secure way will be setting `SGLANG_TORCH_PROFILER_DIR` in the `.*rc` file of shell (e.g. `~/.bashrc` for bash shells).
@@ -59,7 +59,7 @@
   For example, when profiling a server,
 
   ```bash
-  python -m sglang.bench_serving --backend sglang --model-path meta-llama/Llama-3.1-8B-Instruct --num-prompts 2 --sharegpt-output-len 100 --profile
+  python -m sglang.bench_serving --backend sglang --model meta-llama/Llama-3.1-8B-Instruct --num-prompts 2 --sharegpt-output-len 100 --profile
   ```
 
   This command sets the number of prompts to 2 with `--num-prompts` argument and limits the length of output sequences to 100 with `--sharegpt-output-len` argument, which can generate a small trace file for browser to open smoothly.