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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筛选模型
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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） |
|---|---|---|---|---|---|---|---|
| #275 | Nemotron 3.5 Lightning low | NVIDIA | 3.6 | 4.8 | $0.140 | 0/3 | 52.7s |
| #276 | GPT-5.4 Nano none | OpenAI | 2.9 | 4.8 | $0.041 | 0/3 | 880ms |
| #277 | Trinity Large Thinking high | Arcee AI | 2.9 | 4.8 | $0.592 | 0/3 | 66.9s |
| #278 | Grok 4.20 Multi Agent Beta medium | X AI | 2.9 | 4.8 | $5.599 | 0/3 | 24.7s |
| #279 | KAT-Coder-Air V2.5 none | Kwaipilot | 3.0 | 4.8 | $0.070 | 0/3 | 8.33s |
| #282 | Hunter Alpha medium | OpenRouter | 3.0 | 4.7 | $0.000 | 0/3 | 10.5s |
| #285 | Cobuddy medium | Baidu | 2.9 | 4.7 | $0.000 | 0/3 | 128.2s |
| #287 | Granite 4.2 8B high | IBM Granite | 2.9 | 4.6 | $0.084 | 0/3 | 167.2s |
| #288 | Qwen3 Coder Next medium | Qwen | 3.6 | 4.6 | $0.034 | 0/3 | 570ms |
| #289 | MiniMax M2.5 medium | Minimax | 2.9 | 4.6 | $0.327 | 0/3 | 158.9s |
| #290 | Laguna S 2.1 none | Poolside | 3.0 | 4.5 | $0.022 | 0/3 | 337ms |
| #291 | Grok 4.20 Beta none | X AI | 3.0 | 4.4 | $0.087 | 0/3 | 611ms |
| #292 | Laguna M.1 none | Poolside | 3.6 | 4.4 | $0.009 | 0/3 | 5.50s |
| #293 | Elephant Alpha none | Openrouter | 3.0 | 4.3 | $0.000 | 0/3 | 927ms |
| #294 | GLM 4.7 Flash medium | Z.ai | 3.5 | 4.3 | $0.168 | 0/3 | 96.7s |