AI BENCHY Category Failures
Coding: Wrong answer
Coding
Wrong answer
See which AI models are most likely to hit Wrong answer on Coding, so you can spot weak points faster.
Failure Reasons
| Rank | Model | Company | Wrong answer Count | Category Score | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|
| #77 | Grok 4.20 none | X AI | 1 | 3.4 | 0/1 | 1.22s |
| #78 | Mistral Small 4 none | Mistral | 1 | 4.5 | 0/1 | 1.28s |
| #79 | gpt-oss-120b none | OpenAI | 1 | 4.3 | 0/1 | 9.57s |
| #81 | Qwen3 Coder Next none | Qwen | 1 | 7.3 | 0/1 | 3.14s |
| #82 | Nemotron 3 Super none | NVIDIA | 1 | 3.3 | 0/1 | 2.99s |
| #83 | GPT-4o-mini none | OpenAI | 1 | 3.0 | 0/1 | 2.55s |
| #84 | Qwen3.5-9B none | Qwen | 1 | 5.2 | 0/1 | 5.69s |
| #85 | Mercury 2 none | Inception | 1 | 3.6 | 0/1 | 969ms |
| #88 | MiMo-V2-Flash none | Xiaomi | 1 | 6.3 | 0/1 | 2.79s |
| #89 | Grok 4.1 Fast none | X AI | 1 | 5.3 | 0/1 | 1.79s |
| #90 | GPT-5.4 Nano none | OpenAI | 1 | 7.1 | 0/1 | 1.43s |