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） |
|---|---|---|---|---|---|---|---|
| #76 | Qwen3.5-122B-A10B medium | Qwen | 2.9 | 7.1 | $1.046 | 0/3 | 63.4s |
| #16 | GPT-5.3-Codex medium | OpenAI | 5.9 | 8.9 | $0.920 | 1/3 | 64.3s |
| #114 | Ring-2.6-1T medium | Inclusionai | 3.5 | 6.3 | $0.103 | 0/3 | 64.9s |
| #60 | GPT-5.4 Mini medium | OpenAI | 4.1 | 7.5 | $0.756 | 0/3 | 65.3s |
| #108 | Laguna XS 2.1 medium | Poolside | 2.9 | 6.5 | $0.068 | 0/3 | 65.7s |
| #30 | Muse Spark 1.1 high | Meta | 3.5 | 8.1 | $1.694 | 0/3 | 67.4s |
| #53 | GLM 5 Turbo medium | Z.ai | 2.9 | 7.6 | $0.323 | 0/3 | 71.1s |
| #143 | North Mini Code medium | Cohere | 5.3 | 5.9 | $0.000 | 1/3 | 71.4s |
| #19 | Muse Spark 1.1 medium | Meta | 3.5 | 8.6 | $1.357 | 0/3 | 71.4s |
| #23 | Grok 4.5 low | X AI | 3.0 | 8.4 | $0.935 | 0/3 | 72.6s |
| #105 | Qwen3.6 27B medium | Qwen | 2.9 | 6.5 | $0.779 | 0/3 | 73.4s |
| #185 | Ring-2.6-1T none | Inclusionai | 5.3 | 4.8 | $0.026 | 1/3 | 73.4s |
| #35 | GLM 5.2 high | Z.ai | 3.7 | 8.0 | $0.817 | 0/3 | 74.0s |
| #21 | GPT-5.4 medium | OpenAI | 5.3 | 8.5 | $1.533 | 1/3 | 74.3s |
| #24 | GPT-5.2 medium | OpenAI | 5.9 | 8.4 | $0.951 | 1/3 | 77.8s |