AI BENCHY
AD
Track all your projects in one dashboard. Get 📊stats, 🔥heatmaps and 👀recordings in one self-hosted dashboard.
uxwizz.com

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) ↓.

Models Shown

15

Total Failures

144

Most Affected Model

Qwen3.5-9B 1
Rank Model Company API error Count Score Tests Correct Response Time (avg)
#161 Qwen3.5-9B medium Qwen 1 4.2 3/21 82.2s
#25 Qwen3.5 Plus 2026-02-15 medium Qwen 1 7.9 14/21 73.8s
#66 Qwen3.5-35B-A3B medium Qwen 1 7.1 11/21 72.6s
#72 DeepSeek V3.2 medium DeepSeek 2 7.0 11/21 68.7s
#103 DeepSeek V4 Pro high DeepSeek 5 6.0 8/21 65.2s
#49 Qwen3.5-Flash medium Qwen 1 7.4 12/21 63.3s
#75 Ring-2.6-1T medium Inclusionai 2 6.9 11/21 61.3s
#82 Hy3 preview high Tencent 7 6.6 11/21 56.6s
#27 Gemma 4 31B medium Google 2 7.8 14/21 56.5s
#96 Ring-2.6-1T none Inclusionai 5 6.2 9/21 55.1s
#80 Mimo V2 Omni medium Xiaomi 1 6.7 10/21 41.2s
#119 Cobuddy medium Baidu 1 5.6 7/21 39.9s
#83 Step 3.5 Flash none Stepfun 4 6.6 6/12 39.0s
#130 MiniMax M2.7 medium Minimax 1 5.3 5/21 38.2s
#55 GLM 5.1 medium Z.ai 1 7.3 12/21 33.7s

Top Models by API error Count

API error Count vs Score

Top Models by Response Time (avg)