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: 测试正确 ↑.
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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） |
|---|---|---|---|---|---|---|---|
| #302 | Ling 3.0 Tiny none | Inclusionai | 3.0 | 4.0 | $0.000 | 0/3 | 880ms |
| #303 | Granite 4.1 8B none | IBM Granite | 3.0 | 4.0 | $0.007 | 0/3 | 287ms |
| #304 | Nemotron 3.5 Lightning none | NVIDIA | 3.0 | 4.0 | $0.007 | 0/3 | 683ms |
| #305 | Grok Build 0.1 none | X AI | 3.6 | 4.0 | $0.547 | 0/3 | 103.7s |
| #306 | Ling 3.0 Tiny high | Inclusionai | 2.9 | 3.8 | $0.000 | 0/3 | 70.1s |
| #307 | Ling 3.0 Tiny low | Inclusionai | 3.0 | 3.8 | $0.000 | 0/3 | 72.1s |
| #309 | Qwen3.5-9B medium | Qwen | 3.6 | 3.8 | $0.062 | 0/3 | 272.5s |
| #310 | Ling 3.0 Tiny medium | Inclusionai | 3.0 | 3.8 | $0.000 | 0/3 | 81.4s |
| #312 | gpt-oss-120b none | OpenAI | 3.0 | 3.7 | $0.010 | 0/3 | 35.0s |
| #313 | Nemotron 3 Nano Omni 30b A3b Reasoning medium | NVIDIA | 2.9 | 3.4 | $0.000 | 0/3 | 56.7s |
| #314 | Nemotron 3 Nano Omni 30b A3b Reasoning none | NVIDIA | 3.6 | 3.2 | $0.000 | 0/3 | 489ms |
| #6 | Gemini 3.7 Flash high | 5.8 | 9.8 | $0.646 | 1/3 | 16.8s | |
| #7 | Gemini 3.6 Flash medium | 5.8 | 9.8 | $0.427 | 1/3 | 22.0s | |
| #8 | GPT-5.6 Sol low | OpenAI | 5.3 | 9.5 | $0.357 | 1/3 | 31.0s |
| #11 | Gemini 3.5 Flash high | 5.3 | 9.4 | $2.011 | 1/3 | 17.0s |