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） |
|---|---|---|---|---|---|---|---|
| #315 | GLM 5 none | Z.ai | 1.0 | 0.6 | $0.140 | 2/2 | 1.48s |
| #317 | Nemotron 3.5 Super VL none | NVIDIA | 1.0 | 0.6 | $0.040 | 2/2 | 4.08s |
| #321 | Gemini 2.5 Flash none | 1.0 | 0.5 | $0.017 | 2/2 | 590ms | |
| #326 | Claude Opus 4.7 none | Anthropic | 1.0 | 0.5 | $0.505 | 2/2 | 1.46s |
| #333 | Hy3 preview medium | Tencent | 1.0 | 0.5 | $0.049 | 2/2 | 6.16s |
| #345 | MiMo-V2-Flash medium | Xiaomi | 1.0 | 0.5 | $0.043 | 2/2 | 4.28s |
| #349 | KAT Coder AIR V2.5 medium | Kwaipilot | 1.0 | 0.5 | $0.048 | 2/2 | 1.50s |
| #368 | Hy3 preview high | Tencent | 1.0 | 0.5 | $0.135 | 2/2 | 34.4s |
| #376 | DeepSeek V3.2 none | DeepSeek | 1.0 | 0.5 | $0.119 | 2/2 | 1.52s |
| #386 | Hy3 preview low | Tencent | 1.0 | 0.5 | $0.042 | 2/2 | 16.0s |
| #406 | Laguna M.1 medium | Poolside | 1.0 | 0.4 | $0.033 | 2/2 | 4.30s |
| #421 | Laguna Xs.2 medium | Poolside | 1.0 | 0.3 | $0.015 | 2/2 | 1.68s |
| #23 | GPT-5.5 low | OpenAI | 1.0 | 0.9 | $1.822 | 2/2 | 3.74s |
| #46 | Gemini 3.5 Flash low | 1.0 | 0.9 | $0.752 | 2/2 | 1.86s | |
| #68 | GPT-5.2 medium | OpenAI | 1.0 | 0.9 | $1.558 | 2/2 | 3.12s |