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: 总成本 ↑.
216/216
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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） |
|---|---|---|---|---|---|---|---|
| #56 | Kimi K2.7 Code medium | Moonshot AI | 5.5 | 7.5 | $0.740 | 1/3 | 213.3s |
| #3 | Gemini 3 Flash Preview medium | 10.0 | 9.6 | $0.742 | 3/3 | 15.3s | |
| #94 | Qwen3.6 35B A3B medium | Qwen | 5.3 | 6.7 | $0.746 | 1/3 | 22.5s |
| #137 | Grok 4.20 Beta medium | X AI | 5.3 | 6.0 | $0.750 | 1/3 | 21.3s |
| #60 | GPT-5.4 Mini medium | OpenAI | 4.1 | 7.5 | $0.756 | 0/3 | 65.3s |
| #55 | Nemotron 3 Ultra medium | NVIDIA | 3.5 | 7.5 | $0.774 | 0/3 | 24.9s |
| #79 | Grok 4.20 medium | X AI | 5.3 | 7.1 | $0.777 | 1/3 | 27.0s |
| #105 | Qwen3.6 27B medium | Qwen | 2.9 | 6.5 | $0.779 | 0/3 | 73.4s |
| #77 | Grok 4.3 medium | X AI | 5.3 | 7.1 | $0.779 | 1/3 | 181.7s |
| #35 | GLM 5.2 high | Z.ai | 3.7 | 8.0 | $0.817 | 0/3 | 74.0s |
| #1 | Gemini 3.6 Flash medium | 8.2 | 9.9 | $0.831 | 2/3 | 12.6s | |
| #125 | Qwen3.5-35B-A3B medium | Qwen | 4.1 | 6.2 | $0.837 | 0/3 | 88.3s |
| #16 | GPT-5.3-Codex medium | OpenAI | 5.9 | 8.9 | $0.920 | 1/3 | 64.3s |
| #26 | Claude Sonnet 5 medium | Anthropic | 7.7 | 8.3 | $0.922 | 2/3 | 20.4s |
| #23 | Grok 4.5 low | X AI | 3.0 | 8.4 | $0.935 | 0/3 | 72.6s |