Add gsm8k accuracy test for multi-note Qwen3-235B-A22B (#4802)

### What this PR does / why we need it?
As there is not accuracy test for qwen3-235B-A22B model

Test result:
dataset    version    metric    mode      vllm-api-general-chat
---------  ---------  --------  ------  -----------------------
gsm8k      7cd45e     accuracy  gen                       96.29

Times long for test case running: 30mintues

- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c

Signed-off-by: leo-pony <nengjunma@outlook.com>
Co-authored-by: Mengqing Cao <cmq0113@163.com>

tests/e2e/nightly/multi_node/config/models/Qwen3-235B-A3B.yaml

@@ -23,7 +23,7 @@ deployment:
         --tensor-parallel-size 8
         --seed 1024
         --enable-expert-parallel
-        --max-num-seqs 16
+        --max-num-seqs 32
         --max-model-len 8192
         --max-num-batched-tokens 8192
         --trust-remote-code
@@ -40,7 +40,7 @@ deployment:
         --data-parallel-rpc-port 13389
         --tensor-parallel-size 8
         --seed 1024
-        --max-num-seqs 16
+        --max-num-seqs 32
         --max-model-len 8192
         --max-num-batched-tokens 8192
         --enable-expert-parallel
@@ -48,4 +48,12 @@ deployment:
         --no-enable-prefix-caching
         --gpu-memory-utilization 0.9
 benchmarks:
-
+  acc:
+    case_type: accuracy
+    dataset_path: vllm-ascend/gsm8k
+    request_conf: vllm_api_general_chat
+    dataset_conf: gsm8k/gsm8k_gen_0_shot_cot_chat_prompt
+    max_out_len: 7680
+    batch_size: 512
+    baseline: 95
+    threshold: 3