diff --git a/scripts/ci_install_dependency.sh b/scripts/ci_install_dependency.sh
index a02d6e2d5..c061b6226 100755
--- a/scripts/ci_install_dependency.sh
+++ b/scripts/ci_install_dependency.sh
@@ -31,3 +31,6 @@ pip install cuda-python nvidia-cuda-nvrtc-cu12
 # For lmms_evals evaluating MMMU
 git clone --branch v0.3.3 --depth 1 https://github.com/EvolvingLMMs-Lab/lmms-eval.git
 pip install -e lmms-eval/
+
+# Install FlashMLA for attention backend tests
+pip install git+https://github.com/deepseek-ai/FlashMLA.git
diff --git a/test/srt/run_suite.py b/test/srt/run_suite.py
index 4afb76e00..c3f494a3c 100644
--- a/test/srt/run_suite.py
+++ b/test/srt/run_suite.py
@@ -51,6 +51,7 @@ suites = {
         TestFile("test_mla_int8_deepseek_v3.py", 389),
         TestFile("test_mla_flashinfer.py", 395),
         TestFile("test_mla_fp8.py", 153),
+        TestFile("test_flash_mla_attention_backend.py", 300),
         TestFile("test_no_chunked_prefill.py", 108),
         TestFile("test_no_overlap_scheduler.py", 216),
         TestFile("test_openai_server.py", 149),
diff --git a/test/srt/test_flash_mla_attention_backend.py b/test/srt/test_flash_mla_attention_backend.py
new file mode 100644
index 000000000..8d895d2eb
--- /dev/null
+++ b/test/srt/test_flash_mla_attention_backend.py
@@ -0,0 +1,64 @@
+"""
+Usage:
+python3 -m unittest test_flash_mla_attention_backend.TestFlashMLAAttnBackend.test_mmlu
+"""
+
+import unittest
+from types import SimpleNamespace
+
+from sglang.srt.utils import kill_process_tree
+from sglang.test.run_eval import run_eval
+from sglang.test.test_utils import (
+    DEFAULT_MLA_MODEL_NAME_FOR_TEST,
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    is_in_ci,
+    popen_launch_server,
+    run_bench_one_batch,
+)
+
+
+class TestFlashMLAAttnBackend(unittest.TestCase):
+    def test_latency(self):
+        output_throughput = run_bench_one_batch(
+            DEFAULT_MLA_MODEL_NAME_FOR_TEST,
+            [
+                "--attention-backend",
+                "flashmla",
+                "--enable-torch-compile",
+                "--cuda-graph-max-bs",
+                "16",
+                "--trust-remote-code",
+            ],
+        )
+
+        if is_in_ci():
+            self.assertGreater(output_throughput, 153)
+
+    def test_mmlu(self):
+        model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
+        base_url = DEFAULT_URL_FOR_TEST
+        process = popen_launch_server(
+            model,
+            base_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=["--attention-backend", "flashmla", "--trust-remote-code"],
+        )
+
+        try:
+            args = SimpleNamespace(
+                base_url=base_url,
+                model=model,
+                eval_name="mmlu",
+                num_examples=64,
+                num_threads=32,
+            )
+
+            metrics = run_eval(args)
+            self.assertGreaterEqual(metrics["score"], 0.2)
+        finally:
+            kill_process_tree(process.pid)
+
+
+if __name__ == "__main__":
+    unittest.main()