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） |
|---|---|---|---|---|---|---|---|
| #116 | GLM 5.3 Flash high | Z.ai | 3.0 | 7.3 | $0.029 | 0/3 | 85.9s |
| #82 | Seed-2.0-Lite medium | Bytedance Seed | 3.6 | 7.8 | $0.236 | 0/3 | 84.4s |
| #310 | Ling 3.0 Tiny medium | Inclusionai | 3.0 | 3.8 | $0.000 | 0/3 | 81.4s |
| #43 | Muse Spark 1.1 medium | Meta | 3.5 | 8.6 | $1.420 | 0/3 | 80.8s |
| #42 | Muse Spark 1.2 medium | Meta | 5.3 | 8.6 | $1.339 | 1/3 | 77.2s |
| #51 | Grok 4.5 low | X AI | 2.9 | 8.4 | $0.945 | 0/3 | 77.1s |
| #81 | Qwen3.8 27B medium | Qwen | 5.3 | 7.8 | ~$0.058 | 1/3 | 77.0s |
| #188 | Qwen3.5-35B-A3B medium | Qwen | 3.5 | 6.1 | $0.675 | 0/3 | 76.4s |
| #255 | Nemotron 3.5 Lightning medium | NVIDIA | 2.9 | 5.1 | $0.156 | 0/3 | 74.7s |
| #127 | Qwen3.5-122B-A10B medium | Qwen | 2.9 | 7.1 | $1.207 | 0/3 | 74.4s |
| #47 | GPT-5.4 medium | OpenAI | 5.3 | 8.5 | $1.560 | 1/3 | 72.4s |
| #307 | Ling 3.0 Tiny low | Inclusionai | 3.0 | 3.8 | $0.000 | 0/3 | 72.1s |
| #170 | Qwen3.6 27B medium | Qwen | 2.9 | 6.5 | $0.577 | 0/3 | 71.5s |
| #90 | GLM 5 Turbo medium | Z.ai | 2.9 | 7.6 | $0.323 | 0/3 | 71.1s |
| #102 | GPT-5.4 Mini medium | OpenAI | 3.6 | 7.5 | $0.786 | 0/3 | 71.1s |