通用智能 排名
看看哪些 AI 模型在 通用智能 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 | 通用智能 得分 | 分数 | 总成本 | 测试正确 | 响应时间（平均） |
|---|---|---|---|---|---|---|---|
| #258 | Nemotron 3.5 Lightning medium | NVIDIA | 5.5 | 5.1 | $0.156 | 0/1 | 4.36s |
| #290 | Granite 4.2 8B high | IBM Granite | 5.5 | 4.6 | $0.084 | 0/1 | 16.4s |
| #134 | Grok 4.3 medium | X AI | 5.4 | 7.0 | $0.741 | 0/1 | 24.7s |
| #181 | MiMo-V2.5 medium | Xiaomi | 5.4 | 6.4 | $0.104 | 0/1 | 5.37s |
| #212 | Mimo V2 Omni medium | Xiaomi | 5.4 | 5.9 | $0.683 | 0/1 | 3.61s |
| #309 | Ling 3.0 Tiny high | Inclusionai | 5.4 | 3.8 | $0.000 | 0/1 | 60.5s |
| #225 | Kimi K2.6 none | Moonshot AI | 5.4 | 5.7 | $0.233 | 0/1 | 1.55s |
| #58 | Inkling Small high | Thinkingmachines | 5.3 | 8.4 | $0.398 | 0/1 | 3.62s |
| #121 | Qwen3.7 Plus none | Qwen | 5.3 | 7.3 | $0.106 | 0/1 | 1.33s |
| #126 | Muse Glimmer 30B high | Meta | 5.3 | 7.2 | $0.397 | 0/1 | 6.36s |
| #168 | Inkling Small medium | Thinkingmachines | 5.3 | 6.6 | $0.113 | 0/1 | 2.58s |
| #222 | Inkling Small low | Thinkingmachines | 5.3 | 5.7 | $0.055 | 0/1 | 1.42s |
| #237 | Qwen3.6 27B none | Qwen | 5.2 | 5.5 | $0.062 | 0/1 | 1.07s |
| #87 | Qwen3.7 Flash high | Qwen | 5.1 | 7.8 | $0.052 | 0/1 | 10.7s |
| #100 | MiniMax M3 medium | Minimax | 5.1 | 7.5 | $0.300 | 0/1 | 33.3s |