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: 响应时间（平均） ↓.
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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） |
|---|---|---|---|---|---|---|---|
| #306 | Ling 3.0 Tiny high | Inclusionai | 2.9 | 3.8 | $0.000 | 0/3 | 70.1s |
| #176 | Dots 3 Note Preview high | Dots Studio | 5.3 | 6.4 | $0.000 | 1/3 | 69.4s |
| #171 | Laguna XS 2.1 medium | Poolside | 3.5 | 6.5 | $0.068 | 0/3 | 67.5s |
| #277 | Trinity Large Thinking high | Arcee AI | 2.9 | 4.8 | $0.592 | 0/3 | 66.9s |
| #180 | Ring-2.6-1T medium | Inclusionai | 3.6 | 6.4 | $0.102 | 0/3 | 65.3s |
| #30 | GPT-5.3-Codex medium | OpenAI | 5.9 | 8.9 | $0.988 | 1/3 | 63.9s |
| #91 | GPT-5.6 Luna high | OpenAI | 5.3 | 7.6 | $0.179 | 1/3 | 62.9s |
| #74 | Qwen3.8 27B low | Qwen | 5.3 | 7.9 | ~$0.071 | 1/3 | 60.8s |
| #75 | Qwen3.7 Plus medium | Qwen | 3.6 | 7.9 | $0.277 | 0/3 | 60.1s |
| #184 | Gemma 4 31B medium | 5.3 | 6.2 | $0.100 | 1/3 | 59.9s | |
| #80 | Claude Sonnet 4.6 medium | Anthropic | 3.0 | 7.8 | $2.126 | 0/3 | 58.4s |
| #124 | Qwen3.5 Plus 2026-04-20 medium | Qwen | 2.9 | 7.2 | $0.323 | 0/3 | 57.4s |
| #13 | GPT-5.6 Sol medium | OpenAI | 5.9 | 9.4 | $0.508 | 1/3 | 57.2s |
| #274 | Ring-2.6-1T none | Inclusionai | 5.3 | 4.8 | $0.026 | 1/3 | 56.8s |
| #313 | Nemotron 3 Nano Omni 30b A3b Reasoning medium | NVIDIA | 2.9 | 3.4 | $0.000 | 0/3 | 56.7s |