API 错误 失败
看看哪些 AI 模型最常遇到 API 错误，让你在选择前先发现稳定性风险。 排序方式: 总成本 ↑.
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| 排名 | 模型 | 公司 | API 错误 次数 | 分数 | 总成本 | 测试正确 | 响应时间（平均） |
|---|---|---|---|---|---|---|---|
| #376 | DeepSeek V3.2 none | DeepSeek | 3 | 0.5 | $0.119 | 6/23 | 22.4s |
| #346 | Mistral Small 4 medium | Mistral | 1 | 0.5 | $0.126 | 5/23 | 12.7s |
| #368 | Hy3 preview high | Tencent | 7 | 0.5 | $0.135 | 11/21 | 56.6s |
| #200 | Gemma 4 31B medium | 2 | 0.7 | $0.144 | 14/23 | 78.8s | |
| #361 | Laguna S 2.1 high | Poolside | 1 | 0.5 | $0.145 | 4/23 | 113.6s |
| #266 | DeepSeek V3.2 medium | DeepSeek | 2 | 0.6 | $0.152 | 11/23 | 70.1s |
| #296 | Nemotron 3 Ultra none | NVIDIA | 2 | 0.6 | $0.164 | 8/23 | 6.76s |
| #366 | Hy4 preview none | Tencent | 2 | 0.5 | $0.165 | 3/23 | 40.4s |
| #205 | Qwen3.5-Flash medium | Qwen | 1 | 0.7 | $0.184 | 12/23 | 83.7s |
| #354 | MiniMax M2.7 medium | Minimax | 1 | 0.5 | $0.326 | 5/23 | 50.3s |
| #251 | MiMo-V2.5-Pro medium | Xiaomi | 1 | 0.6 | $0.332 | 11/23 | 56.7s |
| #344 | Mimo V2 PRO medium | Xiaomi | 1 | 0.5 | $0.333 | 12/21 | 22.2s |
| #84 | Nemotron 3.5 Super VL high | NVIDIA | 1 | 0.8 | $0.349 | 15/23 | 49.9s |
| #362 | Gemini 3 PRO Preview medium | 4 | 0.5 | $0.385 | 14/21 | 9.05s | |
| #301 | DeepSeek V4.1 Flash none | DeepSeek | 1 | 0.6 | $0.391 | 7/23 | 16.6s |