领域专项 排名
看看哪些 AI 模型在 领域专项 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: 总成本 ↑.
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| 排名 | 模型 | 公司 | 领域专项 得分 | 分数 | 总成本 | 测试正确 | 响应时间（平均） |
|---|---|---|---|---|---|---|---|
| #351 | MiniMax M2.7 medium | Minimax | 0.3 | 0.5 | $0.326 | 0/3 | 39.7s |
| #248 | MiMo-V2.5-Pro medium | Xiaomi | 0.3 | 0.6 | $0.332 | 0/3 | 146.1s |
| #341 | Mimo V2 PRO medium | Xiaomi | 0.5 | 0.5 | $0.333 | 1/3 | 8.82s |
| #82 | Nemotron 3.5 Super VL high | NVIDIA | 0.4 | 0.8 | $0.349 | 0/3 | 113.7s |
| #36 | DeepSeek V4.1 Flash 1017 low | DeepSeek | 0.4 | 0.9 | $0.355 | 0/3 | 174.6s |
| #52 | Gemini 3.6 Flash low | 0.8 | 0.9 | $0.363 | 2/3 | 4.65s | |
| #297 | GPT-5.6 Terra none | OpenAI | 0.5 | 0.6 | $0.377 | 1/3 | 843ms |
| #359 | Gemini 3 PRO Preview medium | 0.5 | 0.5 | $0.385 | 1/3 | 7.01s | |
| #298 | DeepSeek V4.1 Flash none | DeepSeek | 0.8 | 0.6 | $0.391 | 2/3 | 5.46s |
| #157 | Inkling Small high | Thinkingmachines | 0.5 | 0.7 | $0.398 | 1/3 | 56.3s |
| #98 | Qwen3.7 Plus medium | Qwen | 0.4 | 0.8 | $0.415 | 0/3 | 60.1s |
| #213 | MiniMax M3 medium | Minimax | 0.3 | 0.7 | $0.422 | 0/3 | 235.0s |
| #245 | Beam 1.0 501B A23B low | Reflection | 0.3 | 0.6 | $0.432 | 0/3 | 8.45s |
| #139 | Qwen3.5 Plus 2026-04-20 medium | Qwen | 0.3 | 0.8 | $0.435 | 0/3 | 57.4s |
| #115 | GPT-5.6 Terra low | OpenAI | 0.5 | 0.8 | $0.435 | 1/3 | 9.34s |