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: 指标 ↑.
316/316
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 | 领域专项 得分 | 分数 | 总成本 | 测试正确 | 响应时间（平均） |
|---|---|---|---|---|---|---|---|
| #191 | Gemini 3.1 Flash Lite none | 2.9 | 6.1 | $0.046 | 0/3 | 701ms | |
| #192 | Qwen3.5-Flash medium | Qwen | 2.9 | 6.1 | $0.142 | 0/3 | 143.8s |
| #199 | Trinity Large Thinking low | Arcee AI | 2.9 | 6.0 | $0.625 | 0/3 | 140.3s |
| #215 | Solar Pro 4 none | Upstage | 2.9 | 5.8 | $0.006 | 0/3 | 4.65s |
| #216 | North Mini Code medium | Cohere | 2.9 | 5.7 | $0.000 | 0/3 | 107.2s |
| #222 | Kimi K2.6 none | Moonshot AI | 2.9 | 5.7 | $0.233 | 0/3 | 1.39s |
| #251 | Qwen3.6 35B A3B none | Qwen | 2.9 | 5.3 | $0.051 | 0/3 | 7.76s |
| #260 | MiMo-V2.5 none | Xiaomi | 2.9 | 5.1 | $0.025 | 0/3 | 1.24s |
| #276 | GPT-5.4 Nano none | OpenAI | 2.9 | 4.8 | $0.041 | 0/3 | 880ms |
| #277 | Trinity Large Thinking high | Arcee AI | 2.9 | 4.8 | $0.592 | 0/3 | 66.9s |
| #278 | Grok 4.20 Multi Agent Beta medium | X AI | 2.9 | 4.8 | $5.599 | 0/3 | 24.7s |
| #287 | Granite 4.2 8B high | IBM Granite | 2.9 | 4.6 | $0.084 | 0/3 | 167.2s |
| #289 | MiniMax M2.5 medium | Minimax | 2.9 | 4.6 | $0.327 | 0/3 | 158.9s |
| #306 | Ling 3.0 Tiny high | Inclusionai | 2.9 | 3.8 | $0.000 | 0/3 | 70.1s |
| #313 | Nemotron 3 Nano Omni 30b A3b Reasoning medium | NVIDIA | 2.9 | 3.4 | $0.000 | 0/3 | 56.7s |