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 ↓.
216/216
筛选模型
没有模型匹配当前搜索和筛选条件。
| 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） |
|---|---|---|---|---|---|---|---|
| #119 | MiMo-V2-Flash medium | Xiaomi | 5.9 | 6.3 | $0.043 | 1/3 | 96.0s |
| #120 | Qwen3.5-Flash medium | Qwen | 5.3 | 6.2 | $0.139 | 1/3 | 146.5s |
| #124 | Gemini 2.5 Flash none | 5.9 | 6.2 | $0.017 | 1/3 | 495ms | |
| #129 | Inkling low | Thinkingmachines | 5.3 | 6.1 | $0.187 | 1/3 | 1.99s |
| #130 | Qwen3.6 Flash none | Qwen | 5.3 | 6.1 | $0.062 | 1/3 | 1.11s |
| #132 | Qwen3.5 Plus 2026-04-20 none | Qwen | 5.3 | 6.1 | $0.122 | 1/3 | 4.43s |
| #134 | GPT-5 Nano medium | OpenAI | 5.2 | 6.1 | $0.114 | 1/3 | 204.0s |
| #135 | Nemotron 3 Ultra none | NVIDIA | 5.3 | 6.1 | $0.095 | 1/3 | 698ms |
| #136 | Step 3.5 Flash medium | Stepfun | 5.3 | 6.0 | $0.108 | 1/3 | 170.5s |
| #137 | Grok 4.20 Beta medium | X AI | 5.3 | 6.0 | $0.750 | 1/3 | 21.3s |
| #138 | GPT-5.6 Terra none | OpenAI | 5.3 | 6.0 | $0.349 | 1/3 | 757ms |
| #139 | Gemini 3 PRO Preview medium | 5.3 | 6.0 | $0.385 | 1/3 | 7.01s | |
| #141 | Hy3 preview high | Tencent | 5.3 | 5.9 | $0.048 | 1/3 | 109.0s |
| #143 | North Mini Code medium | Cohere | 5.3 | 5.9 | $0.000 | 1/3 | 71.4s |
| #144 | Kimi K2.6 none | Moonshot AI | 5.3 | 5.8 | $0.184 | 1/3 | 1.48s |