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: 测试正确 ↓.
216/216
筛选模型
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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） |
|---|---|---|---|---|---|---|---|
| #161 | Kimi K2.5 none | Moonshot AI | 2.8 | 5.5 | $0.127 | 0/2 | 61.0s |
| #162 | Gemma 4 26B A4B none | 3.0 | 5.5 | $0.015 | 0/2 | 37.2s | |
| #163 | Mimo V2 Omni none | Xiaomi | 1.5 | 5.5 | $0.021 | 0/1 | 5.96s |
| #165 | GPT-5.6 Luna none | OpenAI | 3.2 | 5.4 | $0.142 | 0/2 | 6.68s |
| #166 | Laguna XS 2.1 none | Poolside | 3.0 | 5.3 | $0.008 | 0/2 | 10.4s |
| #167 | Qwen3.6 35B A3B none | Qwen | 3.8 | 5.3 | $0.061 | 0/2 | 39.5s |
| #170 | Inkling none | Thinkingmachines | 2.9 | 5.2 | $0.147 | 0/2 | 25.7s |
| #171 | Mistral Small 4 none | Mistral | 3.0 | 5.1 | $0.022 | 0/2 | 7.44s |
| #172 | Qwen3 Coder Next none | Qwen | 3.0 | 5.1 | $0.025 | 0/2 | 30.9s |
| #173 | Mistral Small 4 medium | Mistral | 3.0 | 5.1 | $0.096 | 0/2 | 32.4s |
| #174 | MiMo-V2.5 none | Xiaomi | 3.0 | 5.1 | $0.025 | 0/2 | 28.9s |
| #175 | Qwen3.5-9B none | Qwen | 3.0 | 5.1 | $0.021 | 0/2 | 194.0s |
| #176 | GLM 5 Turbo none | Z.ai | 1.5 | 5.1 | $0.047 | 0/1 | 4.89s |
| #177 | North Mini Code none | Cohere | 3.2 | 5.1 | $0.000 | 0/2 | 96.2s |
| #178 | MiniMax M2.7 medium | Minimax | 3.8 | 5.0 | $0.163 | 0/2 | 72.1s |