超时 失败
看看哪些 AI 模型最常遇到 超时,让你在选择前先发现稳定性风险。
67/67
筛选模型
没有模型匹配当前搜索和筛选条件。
| 排名 | 模型 | 公司 | 超时 次数 | 分数 | 总成本 | 测试正确 | 响应时间(平均) |
|---|---|---|---|---|---|---|---|
| #390 | Qwen3.5-9B medium | Qwen | 11 | 0.4 | $0.106 | 3/23 | 110.2s |
| #362 | Granite 4.2 8B high | IBM Granite | 10 | 0.5 | $0.111 | 4/23 | 235.4s |
| #398 | Xing4.0 29b A4b medium | Xingchen AGI | 6 | 0.4 | $0.000 | 1/23 | 371.7s |
| #384 | MiniMax M2.5 medium | Minimax | 5 | 0.4 | $0.440 | 5/23 | 102.3s |
| #145 | Seed-2.0-Mini medium | Bytedance Seed | 4 | 0.8 | $0.140 | 12/23 | 91.7s |
| #272 | Granite 4.2 8B medium | IBM Granite | 4 | 0.6 | $0.029 | 8/23 | 50.5s |
| #196 | Kimi K2.6 medium | Moonshot AI | 3 | 0.7 | $1.594 | 12/23 | 121.3s |
| #197 | Qwen3.5-Flash medium | Qwen | 3 | 0.7 | $0.184 | 12/23 | 83.7s |
| #208 | MiniMax M3 medium | Minimax | 3 | 0.7 | $0.422 | 11/23 | 77.0s |
| #237 | Kimi K2.5 medium | Moonshot AI | 3 | 0.6 | $0.841 | 10/23 | 125.8s |
| #245 | Qwen3.5-35B-A3B medium | Qwen | 3 | 0.6 | $0.716 | 11/23 | 111.5s |
| #323 | Granite 4.2 8B low | IBM Granite | 3 | 0.5 | $0.036 | 7/23 | 58.2s |
| #380 | Granite 4.2 8B none | IBM Granite | 3 | 0.4 | $0.037 | 3/23 | 84.7s |
| #30 | Muse Spark Open high | Meta | 2 | 0.9 | $1.782 | 17/23 | 152.0s |
| #144 | GLM 5.1 medium | Z.ai | 2 | 0.8 | $1.546 | 13/23 | 66.4s |