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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)
#132 Mistral Small 4 medium Mistral 2 5.3 5/21 9.40s
#138 Ling-2.6-flash none Inclusionai 2 5.0 6/21 9.34s
#151 Trinity Large Preview none Arcee AI 2 4.6 4/21 2.98s
#153 Qwen3.6 35B A3B none Qwen 2 4.6 4/21 3.73s
#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
#41 Nemotron 3 Ultra 550b A55b medium NVIDIA 1 7.5 13/21 15.1s
#43 MiMo-V2.5-Pro medium Xiaomi 1 7.5 12/21 26.1s
#49 Qwen3.5-Flash medium Qwen 1 7.4 12/21 63.3s
#51 Mimo V2 PRO medium Xiaomi 1 7.4 12/21 22.2s
#55 GLM 5.1 medium Z.ai 1 7.3 12/21 33.7s
#64 MiMo-V2-Flash medium Xiaomi 1 7.2 12/21 20.1s
#66 Qwen3.5-35B-A3B medium Qwen 1 7.1 11/21 72.6s
#79 Hunter Alpha medium OpenRouter 1 6.7 8/18 10.3s
#80 Mimo V2 Omni medium Xiaomi 1 6.7 10/21 41.2s

Top Models by API error Count

API error Count vs Score

Top Models by Response Time (avg)