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: 分数 ↓.
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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） |
|---|---|---|---|---|---|---|---|
| #197 | Qwen3.5-Flash medium | Qwen | 3 | 0.7 | $0.184 | 12/23 | 83.7s |
| #206 | Solar Pro 4 low | Upstage | 1 | 0.7 | $0.101 | 11/23 | 145.2s |
| #208 | MiniMax M3 medium | Minimax | 3 | 0.7 | $0.422 | 11/23 | 77.0s |
| #217 | LongCat 2.0 low | Meituan | 1 | 0.7 | $0.630 | 10/23 | 115.0s |
| #224 | Mercury 2.5 Preview high | Inception | 1 | 0.6 | $0.040 | 12/23 | 7.61s |
| #236 | Claude Sonnet 4.6 medium | Anthropic | 1 | 0.6 | $2.126 | 14/22 | 28.1s |
| #237 | Kimi K2.5 medium | Moonshot AI | 3 | 0.6 | $0.841 | 10/23 | 125.8s |
| #239 | Mercury 2.5 medium | Inception | 1 | 0.6 | $0.034 | 12/23 | 7.74s |
| #245 | Qwen3.5-35B-A3B medium | Qwen | 3 | 0.6 | $0.716 | 11/23 | 111.5s |
| #255 | DeepSeek V3.2 medium | DeepSeek | 2 | 0.6 | $0.152 | 11/23 | 70.1s |
| #261 | GLM 5 Turbo medium | Z.ai | 1 | 0.6 | $0.323 | 14/21 | 23.0s |
| #272 | Granite 4.2 8B medium | IBM Granite | 4 | 0.6 | $0.029 | 8/23 | 50.5s |
| #293 | GPT-5 Nano medium | OpenAI | 1 | 0.6 | $0.159 | 8/23 | 56.5s |
| #305 | Nemotron 3.5 Super VL none | NVIDIA | 1 | 0.6 | $0.040 | 8/23 | 47.0s |
| #306 | Nemotron 3 Super medium | NVIDIA | 1 | 0.6 | $0.081 | 8/23 | 56.4s |