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。 排序方式: 响应时间(平均) ↓.
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) |
|---|---|---|---|---|---|---|---|
| #217 | LongCat 2.0 low | Meituan | 1 | 0.7 | $0.630 | 10/23 | 115.0s |
| #114 | Qwen3.5-27B medium | Qwen | 1 | 0.8 | $1.135 | 14/23 | 114.7s |
| #245 | Qwen3.5-35B-A3B medium | Qwen | 3 | 0.6 | $0.716 | 11/23 | 111.5s |
| #390 | Qwen3.5-9B medium | Qwen | 11 | 0.4 | $0.106 | 3/23 | 110.2s |
| #157 | Gemma 4 26B A4B medium | 2 | 0.7 | $0.101 | 16/23 | 105.0s | |
| #384 | MiniMax M2.5 medium | Minimax | 5 | 0.4 | $0.440 | 5/23 | 102.3s |
| #166 | Qwen3.5 Plus 2026-02-15 medium | Qwen | 2 | 0.7 | $0.567 | 14/23 | 97.7s |
| #130 | DeepSeek V4 Flash 0731 medium | DeepSeek | 1 | 0.8 | $0.460 | 12/23 | 94.2s |
| #44 | Muse Spark Open xhigh | Meta | 1 | 0.9 | $2.081 | 16/23 | 92.4s |
| #145 | Seed-2.0-Mini medium | Bytedance Seed | 4 | 0.8 | $0.140 | 12/23 | 91.7s |
| #380 | Granite 4.2 8B none | IBM Granite | 3 | 0.4 | $0.037 | 3/23 | 84.7s |
| #197 | Qwen3.5-Flash medium | Qwen | 3 | 0.7 | $0.184 | 12/23 | 83.7s |
| #369 | Nemotron 3.5 Lightning low | NVIDIA | 1 | 0.5 | $0.175 | 5/23 | 83.2s |
| #359 | Nemotron 3.5 Lightning medium | NVIDIA | 1 | 0.5 | $0.195 | 5/23 | 81.9s |
| #183 | Kimi K2.7 Code medium | Moonshot AI | 2 | 0.7 | $1.136 | 11/23 | 81.2s |