AI BENCHY 失败分析
答案错误 失败
看看哪些 AI 模型最常遇到 答案错误，让你在选择前先发现稳定性风险。 排序方式: 测试正确 ↓.
| 排名 | 模型 | 公司 | 答案错误 次数 | 分数 | 测试正确 | 响应时间（平均） |
|---|---|---|---|---|---|---|
| #151 | Trinity Large Preview none | Arcee AI | 12 | 4.6 | 4/21 | 2.98s |
| #152 | MiMo-V2-Flash none | Xiaomi | 13 | 4.6 | 4/21 | 2.76s |
| #153 | Qwen3.6 35B A3B none | Qwen | 13 | 4.6 | 4/21 | 3.73s |
| #154 | Qwen3.5-9B none | Qwen | 14 | 4.6 | 4/21 | 1.89s |
| #155 | Mercury 2 none | Inception | 16 | 4.5 | 4/21 | 653ms |
| #156 | Hy3 preview none | Tencent | 8 | 4.4 | 4/21 | 12.9s |
| #158 | GLM 4.7 Flash medium | Z.ai | 9 | 4.4 | 4/21 | 35.1s |
| #157 | Grok 4.1 Fast none | X AI | 13 | 4.4 | 3/19 | 1.62s |
| #159 | Ling-2.6-1T none | Inclusionai | 12 | 4.3 | 3/21 | 7.72s |
| #161 | Qwen3.5-9B medium | Qwen | 2 | 4.2 | 3/21 | 82.2s |
| #160 | LFM2-24B-A2B none | Liquid | 9 | 4.2 | 2/16 | 782ms |
| #162 | Nemotron 3 Nano Omni 30b A3b Reasoning none | NVIDIA | 9 | 4.1 | 2/19 | 728ms |
| #163 | Granite 4.1 8B none | IBM Granite | 13 | 4.0 | 2/21 | 728ms |