指令遵循 排名
看看哪些 AI 模型在 指令遵循 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: 指标 ↑.
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| 排名 | 模型 | 公司 | 指令遵循 得分 | 分数 | 总成本 | 测试正确 | 响应时间（平均） |
|---|---|---|---|---|---|---|---|
| #283 | Granite 4.2 8B medium | IBM Granite | 0.4 | 0.6 | $0.029 | 0/2 | 36.9s |
| #338 | Laguna XS 2.1 none | Poolside | 0.4 | 0.5 | $0.020 | 0/2 | 364ms |
| #354 | MiniMax M2.7 medium | Minimax | 0.4 | 0.5 | $0.326 | 0/2 | 12.8s |
| #424 | Xing4.0 29b A4b none | Xingchen AGI | 0.4 | 0.3 | $0.000 | 0/2 | 11.7s |
| #352 | Laguna S 2.1 medium | Poolside | 0.4 | 0.5 | $0.092 | 0/2 | 400ms |
| #380 | Laguna S 2.1 low | Poolside | 0.4 | 0.5 | $0.108 | 0/2 | 423ms |
| #410 | Xing4.0 29b A4b medium | Xingchen AGI | 0.4 | 0.4 | $0.000 | 0/2 | 25.4s |
| #373 | Laguna S 2.1 none | Poolside | 0.4 | 0.5 | $0.044 | 0/2 | 566ms |
| #311 | Space Bunny Alpha low | Stealth | 0.4 | 0.6 | $0.000 | 0/2 | 1.43s |
| #267 | Trinity Large Thinking low | Arcee AI | 0.4 | 0.6 | $0.918 | 0/2 | 4.07s |
| #278 | Trinity Large Thinking medium | Arcee AI | 0.4 | 0.6 | $0.862 | 0/2 | 3.99s |
| #361 | Laguna S 2.1 high | Poolside | 0.5 | 0.5 | $0.145 | 0/2 | 453ms |
| #341 | Ling 3.0 Flash none | Inclusionai | 0.5 | 0.5 | $0.004 | 0/2 | 836ms |
| #355 | Dots 3 Note Preview default | Dots Studio | 0.5 | 0.5 | $0.000 | 0/2 | 1.06s |
| #434 | Nemotron 3 Nano Omni 30b A3b Reasoning default | NVIDIA | 0.5 | 0.3 | $0.000 | 0/2 | 541ms |