diff --git a/examples/qualcomm/oss_scripts/llama/qnn_llama_runner.cpp b/examples/qualcomm/oss_scripts/llama/qnn_llama_runner.cpp
index d7f0d85156c..f23cf2ec44a 100644
--- a/examples/qualcomm/oss_scripts/llama/qnn_llama_runner.cpp
+++ b/examples/qualcomm/oss_scripts/llama/qnn_llama_runner.cpp
@@ -59,9 +59,22 @@ DEFINE_string(
     "SmartMask");
 DEFINE_int32(num_iters, 1, "total num of iterations to run.");
 
+std::vector<std::string> CollectPrompts(int argc, char** argv) {
+  // Collect all prompts from command line, example usage:
+  // --prompt "prompt1" --prompt "prompt2" --prompt "prompt3"
+  std::vector<std::string> prompts;
+  for (int i = 1; i < argc; i++) {
+    if (std::string(argv[i]) == "--prompt" && i + 1 < argc) {
+      prompts.push_back(argv[i + 1]);
+      i++; // Skip the next argument
+    }
+  }
+  return prompts;
+}
+
 int main(int argc, char** argv) {
+  std::vector<std::string> prompts = CollectPrompts(argc, argv);
   gflags::ParseCommandLineFlags(&argc, &argv, true);
-
   // create llama runner
   example::Runner runner(
       {FLAGS_model_path},
@@ -83,11 +96,10 @@ int main(int argc, char** argv) {
   };
   // generate tokens & store inference output
   for (int i = 0; i < FLAGS_num_iters; i++) {
-    runner.generate(
-        FLAGS_seq_len,
-        FLAGS_prompt.c_str(),
-        FLAGS_system_prompt.c_str(),
-        callback);
+    for (const auto& prompt : prompts) {
+      runner.generate(
+          FLAGS_seq_len, prompt.c_str(), FLAGS_system_prompt.c_str(), callback);
+    }
   }
   fout.write(buf.data(), buf.size());
   fout.close();