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。 排序方式: 测试正确 ↓.
32/32
筛选模型
没有模型匹配当前搜索和筛选条件。
| 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) |
|---|---|---|---|---|---|---|---|
| #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 |
| #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 |
| #57 | Qwen3.5 Plus 2026-02-15 medium | Qwen | 1 | 5.3 | $0.437 | 1/3 | 17.5s |
| #58 | Qwen3.5-27B medium | Qwen | 1 | 5.3 | $1.627 | 1/3 | 79.5s |
| #68 | Kimi K2.6 medium | Moonshot AI | 2 | 5.3 | $1.036 | 1/3 | 202.4s |
| #74 | GLM 5.1 medium | Z.ai | 1 | 5.3 | $0.535 | 1/3 | 29.8s |
| #109 | Mimo V2 PRO medium | Xiaomi | 1 | 5.3 | $0.333 | 1/3 | 8.82s |
| #114 | Qwen3.5-Flash medium | Qwen | 1 | 5.3 | $0.139 | 1/3 | 146.5s |
| #128 | GPT-5 Nano medium | OpenAI | 1 | 5.2 | $0.114 | 1/3 | 204.0s |
| #185 | Grok 4.1 Fast medium | X AI | 1 | 5.8 | $0.069 | 1/3 | 121.8s |
| #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 |