AI BENCHY Category
Domain specific Ranking
See which AI models perform best on Domain specific, which ones stay reliable, and where the biggest gaps appear. Sort by: Score ↑.
| Rank | Model | Company | Domain specific Score | Score | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|
| #163 | Granite 4.1 8B none | IBM Granite | 3.0 | 4.0 | 0/3 | 357ms |
| #162 | Nemotron 3 Nano Omni 30b A3b Reasoning none | NVIDIA | 3.6 | 4.1 | 0/3 | 489ms |
| #161 | Qwen3.5-9B medium | Qwen | 3.6 | 4.2 | 0/3 | 137.7s |
| #160 | LFM2-24B-A2B none | Liquid | 5.9 | 4.2 | 1/3 | 287ms |
| #159 | Ling-2.6-1T none | Inclusionai | 3.0 | 4.3 | 0/3 | 1.04s |
| #158 | GLM 4.7 Flash medium | Z.ai | 3.5 | 4.4 | 0/3 | 174.6s |
| #157 | Grok 4.1 Fast none | X AI | 5.9 | 4.4 | 1/3 | 1.06s |
| #156 | Hy3 preview none | Tencent | 3.6 | 4.4 | 0/3 | 17.6s |
| #155 | Mercury 2 none | Inception | 5.3 | 4.5 | 1/3 | 534ms |
| #154 | Qwen3.5-9B none | Qwen | 3.0 | 4.6 | 0/3 | 464ms |
| #153 | Qwen3.6 35B A3B none | Qwen | 3.5 | 4.6 | 0/3 | 7.45s |
| #152 | MiMo-V2-Flash none | Xiaomi | 5.3 | 4.6 | 1/3 | 564ms |
| #151 | Trinity Large Preview none | Arcee AI | 5.3 | 4.6 | 1/3 | 877ms |
| #150 | Qwen3 Coder Next medium | Qwen | 5.3 | 4.6 | 1/3 | 638ms |
| #149 | Nemotron 3 Nano Omni 30b A3b Reasoning medium | NVIDIA | 2.9 | 4.6 | 0/3 | 56.7s |