AI BENCHY 分类
领域专项 排名
看看哪些 AI 模型在 领域专项 上表现最好，哪些更稳定，以及差距主要出现在哪里。 排序方式: 测试正确 ↓.
| 排名 | 模型 | 公司 | 领域专项 得分 | 分数 | 测试正确 | 响应时间（平均） |
|---|---|---|---|---|---|---|
| #123 | MiMo-V2.5-Pro none | Xiaomi | 5.3 | 5.5 | 1/3 | 877ms |
| #124 | Kimi K2.6 none | Moonshot AI | 5.3 | 5.5 | 1/3 | 1.48s |
| #125 | GPT-5.4 none | OpenAI | 5.3 | 5.5 | 1/3 | 1.07s |
| #128 | Qwen3.6 Flash none | Qwen | 5.3 | 5.4 | 1/3 | 1.11s |
| #131 | Qwen3.5-122B-A10B none | Qwen | 5.3 | 5.3 | 1/3 | 465ms |
| #132 | Mistral Small 4 medium | Mistral | 5.3 | 5.3 | 1/3 | 6.11s |
| #134 | GLM 5 Turbo none | Z.ai | 5.3 | 5.2 | 1/3 | 1.97s |
| #135 | Kimi K2.5 none | Moonshot AI | 5.3 | 5.2 | 1/3 | 4.38s |
| #139 | DeepSeek V4 Flash none | DeepSeek | 5.3 | 5.0 | 1/3 | 19.7s |
| #140 | Qwen3 Coder Next none | Qwen | 5.3 | 4.9 | 1/3 | 962ms |
| #142 | Mistral Small 4 none | Mistral | 5.3 | 4.9 | 1/3 | 367ms |
| #146 | Laguna Xs.2 none | Poolside | 5.3 | 4.8 | 1/3 | 371ms |
| #150 | Qwen3 Coder Next medium | Qwen | 5.3 | 4.6 | 1/3 | 638ms |
| #151 | Trinity Large Preview none | Arcee AI | 5.3 | 4.6 | 1/3 | 877ms |
| #152 | MiMo-V2-Flash none | Xiaomi | 5.3 | 4.6 | 1/3 | 564ms |