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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.

Models Shown

15

Total Failures

144

Most Affected Model

Qwen3.6 Plus Preview 8
Rank Model Company API error Count Score Tests Correct Response Time (avg)
#93 Qwen3.6 Plus Preview medium Qwen 8 6.3 9/19 15.2s
#82 Hy3 preview high Tencent 7 6.6 11/21 56.6s
#89 Hy3 preview low Tencent 7 6.4 10/21 24.6s
#149 Nemotron 3 Nano Omni 30b A3b Reasoning medium NVIDIA 6 4.6 4/19 17.1s
#162 Nemotron 3 Nano Omni 30b A3b Reasoning none NVIDIA 6 4.1 2/19 728ms
#96 Ring-2.6-1T none Inclusionai 5 6.2 9/21 55.1s
#103 DeepSeek V4 Pro high DeepSeek 5 6.0 8/21 65.2s
#35 Gemini 3 PRO Preview medium Google 4 7.6 14/21 9.05s
#83 Step 3.5 Flash none Stepfun 4 6.6 6/12 39.0s
#92 Laguna M.1 medium Poolside 4 6.4 9/19 14.7s
#107 Laguna Xs.2 medium Poolside 4 5.8 6/19 6.73s
#133 DeepSeek V3.2 none DeepSeek 4 5.2 6/21 13.8s
#145 Laguna M.1 none Poolside 4 4.8 4/19 2.89s
#146 Laguna Xs.2 none Poolside 4 4.8 5/19 806ms
#156 Hy3 preview none Tencent 4 4.4 4/21 12.9s

Top Models by API error Count

API error Count vs Score

Top Models by Response Time (avg)