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: Response Time (avg) ↑.
| Rank | Model | Company | Coding Score | Score | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|
| #113 | GLM 5.1 none | Z.ai | 4.3 | 5.6 | 0/2 | 6.33s |
| #12 | Gemini 3 Flash Preview low | 7.3 | 8.6 | 1/2 | 6.66s | |
| #69 | Claude Sonnet 4.6 none | Anthropic | 6.8 | 7.0 | 1/2 | 6.73s |
| #67 | MiMo-V2-Flash medium | Xiaomi | 4.1 | 7.1 | 0/2 | 7.20s |
| #43 | GPT-5.2 Chat none | OpenAI | 8.2 | 7.6 | 1/2 | 8.05s |
| #95 | DeepSeek V4 Pro none | DeepSeek | 5.4 | 6.0 | 0/2 | 8.27s |
| #129 | gpt-oss-120b none | OpenAI | 4.3 | 5.2 | 0/1 | 9.57s |
| #6 | Gemini 3.5 Flash medium | 6.8 | 9.0 | 1/2 | 9.91s | |
| #52 | GPT-5.3 Chat none | OpenAI | 6.9 | 7.4 | 1/2 | 10.5s |
| #146 | Ling-2.6-1T none | Inclusionai | 5.5 | 4.5 | 0/1 | 10.6s |
| #128 | Ling-2.6-flash none | Inclusionai | 10.0 | 5.3 | 1/1 | 11.2s |
| #137 | Qwen3.6 35B A3B none | Qwen | 6.8 | 4.9 | 1/2 | 12.3s |
| #140 | Trinity Large Preview none | Arcee AI | 4.9 | 4.8 | 0/1 | 14.3s |
| #84 | Laguna Xs.2 medium | Poolside | 6.3 | 6.6 | 0/1 | 14.4s |
| #8 | GPT-5.5 low | OpenAI | 10.0 | 8.9 | 2/2 | 14.4s |