AI BENCHY Category
Coding Ranking
See which AI models perform best on Coding, which ones stay reliable, and where the biggest gaps appear.
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| Rank | Model | Company | Coding Score | Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #99 | Hy3 preview low | Tencent | 5.3 | 6.4 | $0.015 | 1/3 | 27.9s |
| #162 | Ling-2.6-flash none | Inclusionai | 5.3 | 4.9 | $0.001 | 1/3 | 11.2s |
| #163 | Ring-2.6-1T none | Inclusionai | 5.3 | 4.8 | $0.026 | 1/3 | 143.8s |
| #59 | Qwen3.6 Flash medium | Qwen | 5.0 | 7.5 | $0.288 | 0/3 | 42.9s |
| #76 | GLM 5.1 medium | Z.ai | 4.6 | 7.1 | $0.288 | 0/3 | 109.6s |
| #164 | GPT-5.4 Nano none | OpenAI | 4.6 | 4.8 | $0.011 | 0/3 | 2.22s |
| #131 | Claude Sonnet 5 none | Anthropic | 4.6 | 5.7 | $0.287 | 0/3 | 3.67s |
| #149 | Qwen3 Coder Next none | Qwen | 4.6 | 5.1 | $0.009 | 0/3 | 2.22s |
| #123 | North Mini Code medium | Cohere | 4.5 | 5.8 | $0.000 | 0/3 | 320.4s |
| #182 | Granite 4.1 8B none | IBM Granite | 4.5 | 4.0 | $0.003 | 0/3 | 775ms |
| #152 | Mistral Small 4 medium | Mistral | 4.4 | 5.1 | $0.068 | 0/3 | 40.0s |
| #130 | Mimo V2 Omni none | Xiaomi | 4.4 | 5.7 | $0.021 | 0/3 | 2.75s |
| #136 | MiMo-V2.5-Pro none | Xiaomi | 4.3 | 5.5 | $0.017 | 0/3 | 1.41s |
| #141 | Laguna XS 2.1 none | Poolside | 4.3 | 5.3 | $0.003 | 0/3 | 623ms |
| #160 | GLM 4.7 Flash none | Z.ai | 4.3 | 4.9 | $0.004 | 0/3 | 2.54s |