综合 排名
看看哪些 AI 模型在 综合 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 | 综合 得分 | 分数 | 总成本 | 测试正确 | 响应时间(平均) |
|---|---|---|---|---|---|---|---|
| #273 | Hy4 preview none | Tencent | 3.0 | 4.8 | $0.041 | 0/2 | 75.1s |
| #274 | Ring-2.6-1T none | Inclusionai | 3.0 | 4.8 | $0.026 | 0/2 | 0ms |
| #276 | GPT-5.4 Nano none | OpenAI | 3.0 | 4.8 | $0.041 | 0/2 | 14.7s |
| #277 | Trinity Large Thinking high | Arcee AI | 3.0 | 4.8 | $0.592 | 0/2 | 262.4s |
| #280 | GLM 4.7 Flash none | Z.ai | 3.0 | 4.8 | $0.016 | 0/2 | 50.2s |
| #286 | Mercury 2 none | Inception | 3.0 | 4.7 | $0.030 | 0/2 | 2.56s |
| #288 | Qwen3 Coder Next medium | Qwen | 3.0 | 4.6 | $0.034 | 0/2 | 14.6s |
| #296 | Granite 4.2 8B none | IBM Granite | 3.0 | 4.3 | $0.026 | 0/2 | 424.3s |
| #302 | Ling 3.0 Tiny none | Inclusionai | 3.0 | 4.0 | $0.000 | 0/2 | 124.2s |
| #303 | Granite 4.1 8B none | IBM Granite | 3.0 | 4.0 | $0.007 | 0/2 | 9.28s |
| #304 | Nemotron 3.5 Lightning none | NVIDIA | 3.0 | 4.0 | $0.007 | 0/2 | 2.02s |
| #306 | Ling 3.0 Tiny high | Inclusionai | 3.0 | 3.8 | $0.000 | 0/2 | 179.9s |
| #307 | Ling 3.0 Tiny low | Inclusionai | 3.0 | 3.8 | $0.000 | 0/2 | 134.8s |
| #309 | Qwen3.5-9B medium | Qwen | 3.0 | 3.8 | $0.062 | 0/2 | 0ms |
| #310 | Ling 3.0 Tiny medium | Inclusionai | 3.0 | 3.8 | $0.000 | 0/2 | 139.8s |