AI BENCHY Category
Combined Ranking
See which AI models perform best on Combined, which ones stay reliable, and where the biggest gaps appear. Sort by: Tests Correct ↓.
| Rank | Model | Company | Combined Score | Score | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|
| #151 | Trinity Large Preview none | Arcee AI | 3.0 | 4.6 | 0/1 | 8.91s |
| #152 | MiMo-V2-Flash none | Xiaomi | 3.0 | 4.6 | 0/1 | 2.87s |
| #153 | Qwen3.6 35B A3B none | Qwen | 3.0 | 4.6 | 0/1 | 0ms |
| #154 | Qwen3.5-9B none | Qwen | 3.0 | 4.6 | 0/1 | 5.91s |
| #155 | Mercury 2 none | Inception | 3.0 | 4.5 | 0/1 | 606ms |
| #156 | Hy3 preview none | Tencent | 3.0 | 4.4 | 0/1 | 35.8s |
| #157 | Grok 4.1 Fast none | X AI | 3.0 | 4.4 | 0/1 | 3.33s |
| #158 | GLM 4.7 Flash medium | Z.ai | 2.8 | 4.4 | 0/1 | 65.6s |
| #159 | Ling-2.6-1T none | Inclusionai | 3.0 | 4.3 | 0/1 | 23.5s |
| #160 | LFM2-24B-A2B none | Liquid | 3.0 | 4.2 | 0/1 | 0ms |
| #161 | Qwen3.5-9B medium | Qwen | 3.0 | 4.2 | 0/1 | 0ms |
| #162 | Nemotron 3 Nano Omni 30b A3b Reasoning none | NVIDIA | 3.0 | 4.1 | 0/1 | 0ms |
| #163 | Granite 4.1 8B none | IBM Granite | 3.0 | 4.0 | 0/1 | 1.88s |