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) |
|---|---|---|---|---|---|---|---|
| #100 | GLM 5.2 medium | Z.ai | 1 | 0.8 | $1.007 | 16/22 | 26.9s |
| #236 | Claude Sonnet 4.6 medium | Anthropic | 1 | 0.6 | $2.126 | 14/22 | 28.1s |
| #83 | GPT-5 Mini medium | OpenAI | 1 | 0.8 | $0.315 | 13/23 | 29.4s |
| #65 | GPT-5.2 medium | OpenAI | 1 | 0.9 | $1.558 | 15/23 | 31.3s |
| #172 | GLM 5 medium | Z.ai | 1 | 0.7 | $0.479 | 15/22 | 39.0s |
| #305 | Nemotron 3.5 Super VL none | NVIDIA | 1 | 0.6 | $0.040 | 8/23 | 47.0s |
| #342 | MiniMax M2.7 medium | Minimax | 2 | 0.5 | $0.326 | 5/23 | 50.3s |
| #272 | Granite 4.2 8B medium | IBM Granite | 4 | 0.6 | $0.029 | 8/23 | 50.5s |
| #136 | Qwen3.5 Plus 2026-04-20 medium | Qwen | 1 | 0.8 | $0.435 | 14/23 | 54.1s |
| #306 | Nemotron 3 Super medium | NVIDIA | 1 | 0.6 | $0.081 | 8/23 | 56.4s |
| #293 | GPT-5 Nano medium | OpenAI | 1 | 0.6 | $0.159 | 8/23 | 56.5s |
| #323 | Granite 4.2 8B low | IBM Granite | 3 | 0.5 | $0.036 | 7/23 | 58.2s |
| #5 | GPT-6 Astra max | OpenAI | 1 | 1.0 | $5.044 | 22/23 | 61.6s |
| #4 | GPT-6.1 Sol max | OpenAI | 1 | 1.0 | $1.006 | 22/23 | 62.0s |
| #144 | GLM 5.1 medium | Z.ai | 2 | 0.8 | $1.546 | 13/23 | 66.4s |