反AI技巧：API 错误
反AI技巧
API 错误
看看哪些 AI 模型在 反AI技巧 上最容易遇到 API 错误，更快找出薄弱点。
16/16
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 | API 错误 次数 | 分类得分 | 总成本 | 测试正确 | 响应时间（平均） |
|---|---|---|---|---|---|---|---|
| #228 | Hy4 preview low | Tencent | 4 | 6.0 | $1.745 | 0/4 | 129.6s |
| #205 | Hy3 preview high | Tencent | 2 | 6.4 | $0.135 | 2/4 | 15.1s |
| #64 | Inkling medium | Thinkingmachines | 1 | 8.7 | $0.383 | 3/4 | 6.49s |
| #128 | DeepSeek V3.2 medium | DeepSeek | 1 | 8.2 | $0.078 | 3/4 | 24.2s |
| #142 | Seed-2.0-Code medium | Bytedance Seed | 1 | 6.9 | $1.153 | 2/4 | 46.0s |
| #220 | KAT-Coder-Air V2.5 high | Kwaipilot | 1 | 6.9 | $0.077 | 2/4 | 2.49s |
| #230 | Hy3 preview low | Tencent | 1 | 8.3 | $0.042 | 3/4 | 9.32s |
| #261 | Laguna S 2.1 low | Poolside | 1 | 3.4 | $0.082 | 0/4 | 80.7s |
| #262 | DeepSeek V3.2 none | DeepSeek | 1 | 3.2 | $0.054 | 0/4 | 9.35s |
| #264 | Qwen3.6 Plus Preview medium | Qwen | 1 | 8.3 | $0.000 | 3/4 | 11.7s |
| #279 | Laguna M.1 medium | Poolside | 1 | 6.5 | $0.033 | 2/4 | 4.87s |
| #287 | Laguna M.1 none | Poolside | 1 | 3.4 | $0.009 | 0/4 | 705ms |
| #294 | Laguna Xs.2 medium | Poolside | 1 | 6.9 | $0.015 | 2/4 | 2.68s |
| #306 | Laguna Xs.2 none | Poolside | 1 | 3.0 | $0.004 | 0/4 | 534ms |
| #308 | Nemotron 3 Nano Omni 30b A3b Reasoning medium | NVIDIA | 1 | 6.4 | $0.000 | 2/4 | 1.20s |