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: 响应时间（平均） ↑.
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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） |
|---|---|---|---|---|---|---|---|
| #333 | Hy3 preview medium | Tencent | 3 | 0.5 | $0.049 | 14/21 | 16.3s |
| #301 | DeepSeek V4.1 Flash none | DeepSeek | 1 | 0.6 | $0.391 | 7/23 | 16.6s |
| #432 | Nemotron 3 Nano Omni 30b A3b Reasoning medium | NVIDIA | 6 | 0.3 | $0.000 | 4/19 | 17.1s |
| #80 | Muse Spark 1.3 low | Meta | 1 | 0.9 | $0.911 | 16/23 | 17.7s |
| #17 | Gemini 4 Argon high | 1 | 1.0 | $1.802 | 21/23 | 19.0s | |
| #229 | KAT-Coder-Pro V2.5 low | Kwaipilot | 2 | 0.7 | $0.568 | 11/23 | 19.4s |
| #259 | Minimax M3.1 Flash medium | Minimax | 1 | 0.6 | $0.000 | 8/23 | 19.5s |
| #345 | MiMo-V2-Flash medium | Xiaomi | 1 | 0.5 | $0.043 | 12/21 | 20.1s |
| #322 | GPT-6 Luna none | OpenAI | 1 | 0.5 | $0.026 | 7/23 | 20.5s |
| #238 | KAT-Coder-Pro V2.5 high | Kwaipilot | 1 | 0.6 | $0.506 | 11/23 | 21.2s |
| #32 | Muse Wonder medium | Meta | 4 | 0.9 | $3.397 | 17/23 | 21.6s |
| #246 | Minimax M3.1 Flash xhigh | Minimax | 1 | 0.6 | $0.000 | 10/23 | 21.7s |
| #344 | Mimo V2 PRO medium | Xiaomi | 1 | 0.5 | $0.333 | 12/21 | 22.2s |
| #376 | DeepSeek V3.2 none | DeepSeek | 3 | 0.5 | $0.119 | 6/23 | 22.4s |
| #332 | Ember-1 none | Fireworks | 5 | 0.5 | $0.786 | 8/23 | 22.6s |