领域专项：超时
领域专项
超时
看看哪些 AI 模型在 领域专项 上最容易遇到 超时，更快找出薄弱点。
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| 排名 | 模型 | 公司 | 超时 次数 | 分类得分 | 总成本 | 测试正确 | 响应时间（平均） |
|---|---|---|---|---|---|---|---|
| #80 | Seed-2.0-Mini medium | Bytedance Seed | 3 | 3.0 | $0.101 | 0/3 | 0ms |
| #204 | Qwen3.5-9B medium | Qwen | 3 | 3.6 | $0.036 | 0/3 | 137.7s |
| #33 | Kimi K3 max | Moonshot AI | 2 | 5.9 | $3.112 | 1/3 | 490.1s |
| #47 | MiniMax M3 medium | Minimax | 2 | 5.5 | $0.286 | 1/3 | 233.1s |
| #52 | Kimi K2.7 Code medium | Moonshot AI | 2 | 5.5 | $0.751 | 1/3 | 213.3s |
| #68 | Kimi K2.6 medium | Moonshot AI | 2 | 5.3 | $1.036 | 1/3 | 202.4s |
| #97 | LongCat 2.0 high | Meituan | 2 | 3.6 | $0.469 | 0/3 | 400.3s |
| #119 | Qwen3.5-35B-A3B medium | Qwen | 2 | 4.1 | $0.837 | 0/3 | 88.3s |
| #172 | MiniMax M2.7 medium | Minimax | 2 | 3.0 | $0.163 | 0/3 | 19.0s |
| #15 | Claude Opus 4.7 medium | Anthropic | 1 | 7.7 | $1.477 | 2/3 | 1.17s |
| #21 | GPT-5.2 medium | OpenAI | 1 | 5.9 | $0.951 | 1/3 | 77.8s |
| #26 | GPT-5 Mini medium | OpenAI | 1 | 3.6 | $0.237 | 0/3 | 44.6s |
| #31 | GLM 5.2 high | Z.ai | 1 | 3.7 | $0.970 | 0/3 | 74.0s |
| #38 | GLM 5.2 medium | Z.ai | 1 | 4.1 | $0.222 | 0/3 | 45.5s |
| #40 | Claude Sonnet 4.6 medium | Anthropic | 1 | 2.9 | $2.057 | 0/3 | 0ms |