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 ↓.
316/316
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） |
|---|---|---|---|---|---|---|---|
| #230 | Owl Alpha none | Openrouter | 1.5 | 5.6 | $0.000 | 0/1 | 21.7s |
| #233 | Hy4 preview low | Tencent | 2.9 | 5.6 | $1.745 | 0/2 | 139.4s |
| #234 | Qwen3.6 27B none | Qwen | 3.2 | 5.5 | $0.062 | 0/2 | 83.1s |
| #236 | Qwen3.8 27B none | Qwen | 3.0 | 5.5 | ~$0.006 | 0/2 | 24.1s |
| #237 | Mimo V2 Omni none | Xiaomi | 1.5 | 5.5 | $0.021 | 0/1 | 5.96s |
| #238 | DeepSeek V4 Flash 0423 none | DeepSeek | 4.6 | 5.4 | $0.039 | 0/2 | 179.6s |
| #239 | Laguna S 2.1 medium | Poolside | 3.2 | 5.4 | $0.053 | 0/2 | 284.7s |
| #241 | GPT-5.6 Luna none | OpenAI | 3.2 | 5.4 | $0.029 | 0/2 | 6.68s |
| #242 | MiMo-V2.5-Pro none | Xiaomi | 3.0 | 5.4 | $0.068 | 0/2 | 28.3s |
| #243 | Kimi K2.5 none | Moonshot AI | 2.8 | 5.4 | $0.101 | 0/2 | 61.0s |
| #244 | DeepSeek V4 Flash 0731 none | DeepSeek | 3.7 | 5.4 | $0.011 | 0/2 | 202.4s |
| #245 | Laguna S 2.1 high | Poolside | 2.9 | 5.4 | $0.114 | 0/2 | 702.3s |
| #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 |
| #251 | Qwen3.6 35B A3B none | Qwen | 3.8 | 5.3 | $0.051 | 0/2 | 39.5s |