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。 排序方式: 指标 ↑.
316/316
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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） |
|---|---|---|---|---|---|---|---|
| #220 | Ling-3.0-flash none | Inclusionai | 3.0 | 5.7 | $0.004 | 0/2 | 8.58s |
| #222 | Kimi K2.6 none | Moonshot AI | 3.0 | 5.7 | $0.233 | 0/2 | 77.8s |
| #228 | Gemma 4 26B A4B none | 3.0 | 5.6 | $0.015 | 0/2 | 37.2s | |
| #236 | Qwen3.8 27B none | Qwen | 3.0 | 5.5 | ~$0.006 | 0/2 | 24.1s |
| #242 | MiMo-V2.5-Pro none | Xiaomi | 3.0 | 5.4 | $0.068 | 0/2 | 28.3s |
| #247 | Laguna XS 2.1 none | Poolside | 3.0 | 5.3 | $0.008 | 0/2 | 10.4s |
| #248 | Seed-2.0-Code none | Bytedance Seed | 3.0 | 5.3 | $0.151 | 0/2 | 78.4s |
| #252 | Dots 3 Note Preview none | Dots Studio | 3.0 | 5.2 | $0.000 | 0/2 | 14.8s |
| #254 | Granite 4.2 8B medium | IBM Granite | 3.0 | 5.2 | $0.009 | 0/2 | 291.1s |
| #256 | Mistral Small 4 none | Mistral | 3.0 | 5.1 | $0.022 | 0/2 | 7.44s |
| #257 | Mistral Small 4 medium | Mistral | 3.0 | 5.1 | $0.097 | 0/2 | 32.4s |
| #258 | Granite 4.2 8B low | IBM Granite | 3.0 | 5.1 | $0.012 | 0/2 | 298.2s |
| #259 | Qwen3 Coder Next none | Qwen | 3.0 | 5.1 | $0.026 | 0/2 | 30.9s |
| #260 | MiMo-V2.5 none | Xiaomi | 3.0 | 5.1 | $0.025 | 0/2 | 28.9s |
| #261 | Qwen3.5-9B none | Qwen | 3.0 | 5.1 | $0.021 | 0/2 | 194.0s |