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。
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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） |
|---|---|---|---|---|---|---|---|
| #160 | MiMo-V2.5-Pro none | Xiaomi | 5.3 | 5.5 | $0.068 | 1/3 | 877ms |
| #161 | Kimi K2.5 none | Moonshot AI | 5.3 | 5.5 | $0.127 | 1/3 | 4.38s |
| #163 | Mimo V2 Omni none | Xiaomi | 5.3 | 5.5 | $0.021 | 1/3 | 2.10s |
| #166 | Laguna XS 2.1 none | Poolside | 5.3 | 5.3 | $0.008 | 1/3 | 364ms |
| #169 | Gemini 3.1 Flash Lite Preview high | 5.3 | 5.3 | $2.310 | 1/3 | 127.6s | |
| #170 | Inkling none | Thinkingmachines | 5.3 | 5.2 | $0.147 | 1/3 | 1.45s |
| #171 | Mistral Small 4 none | Mistral | 5.3 | 5.1 | $0.022 | 1/3 | 367ms |
| #172 | Qwen3 Coder Next none | Qwen | 5.3 | 5.1 | $0.025 | 1/3 | 962ms |
| #176 | GLM 5 Turbo none | Z.ai | 5.3 | 5.1 | $0.047 | 1/3 | 1.97s |
| #189 | Trinity Large Preview none | Arcee AI | 5.3 | 4.8 | $0.008 | 1/3 | 877ms |
| #193 | Qwen3 Coder Next medium | Qwen | 5.3 | 4.7 | $0.032 | 1/3 | 638ms |
| #202 | Hunter Alpha none | OpenRouter | 5.3 | 4.2 | $0.000 | 1/3 | 2.33s |
| #211 | Laguna Xs.2 none | Poolside | 5.3 | 3.8 | $0.004 | 1/3 | 371ms |
| #5 | GPT-5.6 Sol low | OpenAI | 5.3 | 9.5 | $0.971 | 1/3 | 29.1s |
| #8 | GPT-5.6 Sol high | OpenAI | 5.3 | 9.4 | $1.234 | 1/3 | 39.5s |