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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. Sort by: Tests Correct ↑.

Models Shown

15

Total Failures

144

Rank Model Company API error Count Score Tests Correct Response Time (avg)
#162 Nemotron 3 Nano Omni 30b A3b Reasoning none NVIDIA 6 4.1 2/19 728ms
#160 LFM2-24B-A2B none Liquid 4 4.2 2/16 782ms
#159 Ling-2.6-1T none Inclusionai 3 4.3 3/21 7.72s
#161 Qwen3.5-9B medium Qwen 1 4.2 3/21 82.2s
#151 Trinity Large Preview none Arcee AI 2 4.6 4/21 2.98s
#152 MiMo-V2-Flash none Xiaomi 1 4.6 4/21 2.76s
#153 Qwen3.6 35B A3B none Qwen 2 4.6 4/21 3.73s
#156 Hy3 preview none Tencent 4 4.4 4/21 12.9s
#145 Laguna M.1 none Poolside 4 4.8 4/19 2.89s
#149 Nemotron 3 Nano Omni 30b A3b Reasoning medium NVIDIA 6 4.6 4/19 17.1s
#130 MiniMax M2.7 medium Minimax 1 5.3 5/21 38.2s
#132 Mistral Small 4 medium Mistral 2 5.3 5/21 9.40s
#137 Elephant Alpha none Openrouter 3 5.1 5/21 1.22s
#146 Laguna Xs.2 none Poolside 4 4.8 5/19 806ms
#133 DeepSeek V3.2 none DeepSeek 4 5.2 6/21 13.8s

Top Models by API error Count

API error Count vs Score

Top Models by Response Time (avg)