AI BENCHY Failures
API error Failures
See which AI models run into API error most often, so you can spot reliability risks before choosing one. Sort by: Tests Correct ↑.
Categories
| Rank | Model | Company | API error Count | Score | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|
| #64 | MiMo-V2-Flash medium | Xiaomi | 1 | 7.2 | 12/21 | 20.1s |
| #41 | Nemotron 3 Ultra 550b A55b medium | NVIDIA | 1 | 7.5 | 13/21 | 15.1s |
| #46 | Qwen3.6 35B A3B medium | Qwen | 2 | 7.4 | 13/21 | 18.1s |
| #25 | Qwen3.5 Plus 2026-02-15 medium | Qwen | 1 | 7.9 | 14/21 | 73.8s |
| #26 | Qwen3.6 Plus medium | Qwen | 1 | 7.9 | 14/21 | 30.7s |
| #27 | Gemma 4 31B medium | 2 | 7.8 | 14/21 | 56.5s | |
| #33 | Hy3 preview medium | Tencent | 3 | 7.7 | 14/21 | 16.3s |
| #35 | Gemini 3 PRO Preview medium | 4 | 7.6 | 14/21 | 9.05s | |
| #20 | Gemini 3.5 Flash none | 3 | 8.1 | 15/21 | 9.93s |