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 ↓.
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| 排名 | 模型 | 公司 | 领域专项 得分 | 分数 | 总成本 | 测试正确 | 响应时间（平均） |
|---|---|---|---|---|---|---|---|
| #109 | Qwen3.5-27B none | Qwen | 3.0 | 6.5 | $0.090 | 0/3 | 540ms |
| #114 | Ring-2.6-1T medium | Inclusionai | 3.5 | 6.3 | $0.103 | 0/3 | 64.9s |
| #117 | LongCat 2.0 none | Meituan | 3.0 | 6.3 | $0.044 | 0/3 | 1.72s |
| #122 | Seed-2.0-Lite none | Bytedance Seed | 3.6 | 6.2 | $0.066 | 0/3 | 1.33s |
| #123 | GPT-5.6 Luna low | OpenAI | 3.6 | 6.2 | $0.249 | 0/3 | 10.0s |
| #125 | Qwen3.5-35B-A3B medium | Qwen | 4.1 | 6.2 | $0.837 | 0/3 | 88.3s |
| #126 | Gemini 3.1 Flash Lite minimal | 2.9 | 6.1 | $0.047 | 0/3 | 1.02s | |
| #127 | gpt-oss-120b medium | OpenAI | 2.9 | 6.1 | $0.019 | 0/3 | 50.9s |
| #128 | Gemini 3.1 Flash Lite none | 2.9 | 6.1 | $0.046 | 0/3 | 762ms | |
| #140 | Mimo V2 Omni medium | Xiaomi | 3.0 | 5.9 | $0.683 | 0/3 | 47.9s |
| #142 | GPT-5.4 Mini none | OpenAI | 3.5 | 5.9 | $0.095 | 0/3 | 937ms |
| #146 | Nemotron 3 Super medium | NVIDIA | 2.9 | 5.7 | $0.055 | 0/3 | 16.2s |
| #147 | GLM 5 none | Z.ai | 3.0 | 5.7 | $0.041 | 0/3 | 2.24s |
| #149 | Gemini 3.1 Flash Lite high | 3.6 | 5.6 | $2.044 | 0/3 | 139.9s | |
| #150 | KAT-Coder-Air V2.5 high | Kwaipilot | 2.9 | 5.6 | $0.077 | 0/3 | 7.47s |