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 ↑.
210/210
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） |
|---|---|---|---|---|---|---|---|
| #205 | Laguna Xs.2 none | Poolside | 5.3 | 3.8 | $0.004 | 1/3 | 371ms |
| #201 | Granite 4.1 8B none | IBM Granite | 3.0 | 4.0 | $0.007 | 0/3 | 357ms |
| #160 | Laguna XS 2.1 none | Poolside | 5.3 | 5.3 | $0.008 | 1/3 | 364ms |
| #203 | Grok 4.1 Fast none | X AI | 5.9 | 3.8 | $0.008 | 1/3 | 1.06s |
| #183 | Trinity Large Preview none | Arcee AI | 5.3 | 4.8 | $0.008 | 1/3 | 877ms |
| #177 | Nemotron 3 Super none | NVIDIA | 3.6 | 4.9 | $0.008 | 0/3 | 6.23s |
| #192 | Laguna M.1 none | Poolside | 3.6 | 4.4 | $0.009 | 0/3 | 5.50s |
| #206 | gpt-oss-120b none | OpenAI | 3.0 | 3.7 | $0.010 | 0/3 | 35.0s |
| #174 | GPT-4o-mini none | OpenAI | 3.0 | 5.0 | $0.010 | 0/3 | 637ms |
| #156 | Gemma 4 26B A4B none | 3.6 | 5.5 | $0.015 | 0/3 | 2.49s | |
| #153 | Hy3 preview low | Tencent | 5.9 | 5.5 | $0.015 | 1/3 | 40.4s |
| #198 | Laguna Xs.2 medium | Poolside | 4.1 | 4.1 | $0.015 | 0/3 | 11.1s |
| #162 | Ling-2.6-1T none | Inclusionai | 3.0 | 5.3 | $0.016 | 0/3 | 1.04s |
| #176 | GLM 4.7 Flash none | Z.ai | 7.7 | 4.9 | $0.016 | 2/3 | 744ms |
| #118 | Gemini 2.5 Flash none | 5.9 | 6.2 | $0.017 | 1/3 | 495ms |