AI BENCHY 分类失败
编程:API 错误
编程
API 错误
看看哪些 AI 模型在 编程 上最容易遇到 API 错误,更快找出薄弱点。 排序方式: 测试正确 ↓.
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| 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) |
|---|---|---|---|---|---|---|---|
| #33 | Qwen3.5 Plus 2026-02-15 medium | Qwen | 1 | 6.6 | $0.310 | 1/3 | 180.7s |
| #36 | Qwen3.6 Plus medium | Qwen | 1 | 6.1 | $0.294 | 1/3 | 153.1s |
| #52 | DeepSeek V4 Pro high | DeepSeek | 1 | 6.1 | $0.157 | 1/3 | 243.0s |
| #63 | MiMo-V2.5-Pro medium | Xiaomi | 1 | 6.2 | $0.106 | 1/3 | 92.1s |
| #66 | Hy3 preview medium | Tencent | 2 | 5.3 | $0.018 | 1/3 | 31.4s |
| #85 | Ring-2.6-1T medium | Inclusionai | 2 | 5.3 | $0.033 | 1/3 | 59.6s |
| #87 | Hy3 preview high | Tencent | 2 | 5.3 | $0.048 | 1/3 | 99.8s |
| #90 | Mimo V2 PRO medium | Xiaomi | 1 | 6.0 | $0.333 | 1/3 | 94.2s |
| #99 | Hy3 preview low | Tencent | 2 | 5.3 | $0.015 | 1/3 | 27.9s |
| #124 | Owl Alpha medium | Openrouter | 1 | 5.4 | $0.000 | 1/3 | 18.7s |
| #125 | Mimo V2 PRO none | Xiaomi | 1 | 5.5 | $0.045 | 1/3 | 2.65s |
| #146 | MiniMax M2.7 medium | Minimax | 1 | 5.7 | $0.100 | 1/3 | 101.9s |
| #162 | Ling-2.6-flash none | Inclusionai | 2 | 5.3 | $0.001 | 1/3 | 11.2s |
| #163 | Ring-2.6-1T none | Inclusionai | 2 | 5.3 | $0.026 | 1/3 | 143.8s |
| #86 | Mimo V2 Omni medium | Xiaomi | 1 | 3.3 | $0.683 | 0/3 | 183.9s |