diff --git a/.github/workflows/nightly-benchmark.yml b/.github/workflows/nightly-benchmark.yml
index fba3023ad4..b3a08d73d9 100644
--- a/.github/workflows/nightly-benchmark.yml
+++ b/.github/workflows/nightly-benchmark.yml
@@ -350,6 +350,7 @@ jobs:
           - { id: meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8, slug: meta-llama-Llama-4-Maverick-17B-128E-Instruct-FP8, test_class: TestNightlyLlama4MaverickSingle }
           # Pausing MiniMax M2 nightly benchmark
           # - { id: minimaxai/minimax-m2, slug: minimaxai-minimax-m2, test_class: TestNightlyMinimaxM2Single }
+          - { id: zai-org/GLM-4.6, slug: zai-org-GLM-4.6, test_class: TestNightlyGlm46Single }
         variant:
           - { id: sglang, runtime: sglang, grpc_only: "false", setup_vllm: false, setup_trtllm: false, extra_deps: "genai-bench" }
           - { id: vllm,   runtime: vllm,   grpc_only: "false", setup_vllm: true, setup_trtllm: false, extra_deps: "genai-bench" }
diff --git a/e2e_test/benchmarks/test_nightly_perf.py b/e2e_test/benchmarks/test_nightly_perf.py
index 51b3d290a0..6e8709ac1b 100644
--- a/e2e_test/benchmarks/test_nightly_perf.py
+++ b/e2e_test/benchmarks/test_nightly_perf.py
@@ -102,6 +102,7 @@ def _run_nightly(setup_backend, genai_bench_runner, model_id, worker_count=1, **
     ("Qwen/Qwen3-30B-A3B", "Qwen30b", 4, ["http", "grpc"], {}),
     ("openai/gpt-oss-20b", "GptOss20b", 1, ["http", "grpc"], {}),
     ("minimaxai/minimax-m2", "MinimaxM2", 1, ["http", "grpc"], {}),
+    ("zai-org/GLM-4.6", "Glm46", 1, ["http", "grpc"], {}),
     (
         "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8",
         "Llama4Maverick",
@@ -132,6 +133,8 @@ def _run_nightly(setup_backend, genai_bench_runner, model_id, worker_count=1, **
     ),
 ]
 
+_SINGLE_ONLY_NIGHTLY_MODELS = {"zai-org/GLM-4.6"}
+
 
 # ---------------------------------------------------------------------------
 # Dynamic test class generation
@@ -163,7 +166,11 @@ def test_nightly_perf(self, setup_backend, genai_bench_runner):
 
 
 for _model_id, _name, _multi_workers, _backends, _extra in _NIGHTLY_MODELS:
-    for _suffix, _count in [("Single", 1), ("Multi", _multi_workers)]:
+    variants = [("Single", 1)]
+    if _model_id not in _SINGLE_ONLY_NIGHTLY_MODELS:
+        variants.append(("Multi", _multi_workers))
+
+    for _suffix, _count in variants:
         _cls_name = f"TestNightly{_name}{_suffix}"
         _cls = _make_test_class(_model_id, _count, _backends, _extra)
         _cls.__name__ = _cls_name
@@ -171,4 +178,4 @@ def test_nightly_perf(self, setup_backend, genai_bench_runner):
         globals()[_cls_name] = _cls
 
 # Clean up loop variables from module namespace
-del _model_id, _name, _multi_workers, _backends, _extra, _suffix, _count, _cls_name, _cls
+del _model_id, _name, _multi_workers, _backends, _extra, _suffix, _count, _cls_name, _cls, variants
diff --git a/e2e_test/infra/model_specs.py b/e2e_test/infra/model_specs.py
index 5898e34c5b..1a4c0a2bb9 100644
--- a/e2e_test/infra/model_specs.py
+++ b/e2e_test/infra/model_specs.py
@@ -110,6 +110,14 @@ def _resolve_model_path(hf_path: str) -> str:
         "worker_args": ["--trust-remote-code"],
         "vllm_args": ["--trust-remote-code"],
     },
+    # GLM-4.6 - nightly benchmarks
+    "zai-org/GLM-4.6": {
+        "model": _resolve_model_path("zai-org/GLM-4.6"),
+        "tp": 4,
+        "features": ["chat", "streaming", "function_calling", "reasoning"],
+        "worker_args": ["--trust-remote-code"],
+        "vllm_args": ["--trust-remote-code"],
+    },
     # Vision-language model for multimodal benchmarks (MMMU)
     "Qwen/Qwen3-VL-8B-Instruct": {
         "model": _resolve_model_path("Qwen/Qwen3-VL-8B-Instruct"),