AI BENCHY Category
Coding Ranking
See which AI models perform best on Coding, which ones stay reliable, and where the biggest gaps appear. Sort by: Score ↑.
| Rank | Model | Company | Coding Score | Score | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|
| #153 | Granite 4.1 8B none | IBM Granite | 5.2 | 4.1 | 0/2 | 706ms |
| #151 | Qwen3.5-9B medium | Qwen | 2.8 | 4.2 | 0/2 | 135.6s |
| #150 | Grok 4.1 Fast none | X AI | 5.3 | 4.4 | 0/1 | 1.79s |
| #149 | MiMo-V2-Flash none | Xiaomi | 4.9 | 4.4 | 0/2 | 2.04s |
| #147 | GPT-5.4 Nano none | OpenAI | 5.4 | 4.5 | 0/2 | 1.09s |
| #148 | GLM 4.7 Flash medium | Z.ai | 3.4 | 4.5 | 0/2 | 55.3s |
| #146 | Ling-2.6-1T none | Inclusionai | 5.5 | 4.5 | 0/1 | 10.6s |
| #145 | Nemotron 3 Nano Omni 30b A3b Reasoning none | NVIDIA | 10.0 | 4.6 | 1/1 | 1.27s |
| #144 | Hy3 preview none | Tencent | 2.3 | 4.6 | 0/1 | 4.56s |
| #143 | Mercury 2 none | Inception | 3.5 | 4.6 | 0/2 | 831ms |
| #142 | Qwen3.5-9B none | Qwen | 4.4 | 4.6 | 0/2 | 5.39s |
| #141 | Qwen3 Coder Next medium | Qwen | 4.1 | 4.7 | 0/2 | 1.17s |
| #140 | Trinity Large Preview none | Arcee AI | 4.9 | 4.8 | 0/1 | 14.3s |
| #139 | MiMo-V2.5 none | Xiaomi | 6.8 | 4.8 | 1/2 | 3.74s |
| #138 | GPT-4o-mini none | OpenAI | 3.2 | 4.9 | 0/2 | 2.05s |