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: Response Time (avg) ↑.
Categories
| Rank | Model | Company | API error Count | Score | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|
| #27 | Gemma 4 31B medium | 2 | 7.8 | 14/21 | 56.5s | |
| #82 | Hy3 preview high | Tencent | 7 | 6.6 | 11/21 | 56.6s |
| #75 | Ring-2.6-1T medium | Inclusionai | 2 | 6.9 | 11/21 | 61.3s |
| #49 | Qwen3.5-Flash medium | Qwen | 1 | 7.4 | 12/21 | 63.3s |
| #103 | DeepSeek V4 Pro high | DeepSeek | 5 | 6.0 | 8/21 | 65.2s |
| #72 | DeepSeek V3.2 medium | DeepSeek | 2 | 7.0 | 11/21 | 68.7s |
| #66 | Qwen3.5-35B-A3B medium | Qwen | 1 | 7.1 | 11/21 | 72.6s |
| #25 | Qwen3.5 Plus 2026-02-15 medium | Qwen | 1 | 7.9 | 14/21 | 73.8s |
| #161 | Qwen3.5-9B medium | Qwen | 1 | 4.2 | 3/21 | 82.2s |