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） ↓.
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| 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） |
|---|---|---|---|---|---|---|---|
| #192 | Gemma 4 31B medium | 1 | 0.7 | $0.144 | 14/23 | 78.8s | |
| #61 | Muse Spark Open medium | Meta | 1 | 0.9 | $1.260 | 15/23 | 77.4s |
| #330 | Nemotron 3.5 Lightning high | NVIDIA | 1 | 0.5 | $0.168 | 5/23 | 77.1s |
| #208 | MiniMax M3 medium | Minimax | 3 | 0.7 | $0.422 | 11/23 | 77.0s |
| #255 | DeepSeek V3.2 medium | DeepSeek | 2 | 0.6 | $0.152 | 11/23 | 70.1s |
| #186 | Qwen3.5-122B-A10B medium | Qwen | 2 | 0.7 | $1.152 | 14/23 | 67.0s |
| #181 | Qwen3.6 Max Preview medium | Qwen | 1 | 0.7 | $1.132 | 17/22 | 66.5s |
| #144 | GLM 5.1 medium | Z.ai | 2 | 0.8 | $1.546 | 13/23 | 66.4s |
| #4 | GPT-6.1 Sol max | OpenAI | 1 | 1.0 | $1.006 | 22/23 | 62.0s |
| #5 | GPT-6 Astra max | OpenAI | 1 | 1.0 | $5.044 | 22/23 | 61.6s |
| #323 | Granite 4.2 8B low | IBM Granite | 3 | 0.5 | $0.036 | 7/23 | 58.2s |
| #293 | GPT-5 Nano medium | OpenAI | 1 | 0.6 | $0.159 | 8/23 | 56.5s |
| #306 | Nemotron 3 Super medium | NVIDIA | 1 | 0.6 | $0.081 | 8/23 | 56.4s |
| #136 | Qwen3.5 Plus 2026-04-20 medium | Qwen | 1 | 0.8 | $0.435 | 14/23 | 54.1s |
| #272 | Granite 4.2 8B medium | IBM Granite | 4 | 0.6 | $0.029 | 8/23 | 50.5s |