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。
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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） |
|---|---|---|---|---|---|---|---|
| #334 | GPT-5.6 Luna none | OpenAI | 0.7 | 0.5 | $0.042 | 1/2 | 1.23s |
| #366 | Hy4 preview none | Tencent | 0.7 | 0.5 | $0.165 | 1/2 | 47.9s |
| #411 | Ling 3.0 Tiny high | Inclusionai | 0.7 | 0.4 | $0.000 | 1/2 | 3.10s |
| #413 | Ling 3.0 Tiny medium | Inclusionai | 0.7 | 0.4 | $0.000 | 1/2 | 3.00s |
| #412 | Ling 3.0 Tiny low | Inclusionai | 0.7 | 0.4 | $0.000 | 1/2 | 3.09s |
| #32 | Muse Wonder medium | Meta | 0.7 | 0.9 | $3.397 | 1/2 | 3.88s |
| #40 | Muse Spark 1.3 high | Meta | 0.7 | 0.9 | $1.891 | 1/2 | 14.7s |
| #41 | Muse Wonder low | Meta | 0.7 | 0.9 | $2.637 | 1/2 | 2.08s |
| #44 | Muse Wonder minimal | Meta | 0.7 | 0.9 | $1.639 | 1/2 | 1.39s |
| #57 | Muse Spark 1.1 medium | Meta | 0.7 | 0.9 | $1.665 | 1/2 | 6.31s |
| #137 | Muse Wonder high | Meta | 0.7 | 0.8 | $3.426 | 1/2 | 1.97s |
| #145 | Muse Wonder xhigh | Meta | 0.7 | 0.8 | $4.012 | 1/2 | 2.64s |
| #168 | LongCat 2.0 high | Meituan | 0.7 | 0.7 | $0.778 | 1/2 | 6.96s |
| #177 | LongCat 2.0 medium | Meituan | 0.7 | 0.7 | $0.767 | 1/2 | 7.38s |
| #225 | LongCat 2.0 low | Meituan | 0.7 | 0.7 | $0.630 | 1/2 | 6.39s |