AI BENCHY
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AI BENCHY Category Failures

Domain specific: Wrong answer

Domain specific
Wrong answer

See which AI models are most likely to hit Wrong answer on Domain specific, so you can spot weak points faster.

Models Shown

15

Total Failures

314

Most Affected Model

Qwen3.6 Max Preview 3
Rank Model Company Wrong answer Count Category Score Tests Correct Response Time (avg)
#139 DeepSeek V4 Flash none DeepSeek 2 5.3 1/3 19.7s
#140 Qwen3 Coder Next none Qwen 2 5.3 1/3 962ms
#142 Mistral Small 4 none Mistral 2 5.3 1/3 367ms
#146 Laguna Xs.2 none Poolside 2 5.3 1/3 371ms
#149 Nemotron 3 Nano Omni 30b A3b Reasoning medium NVIDIA 2 2.9 0/3 56.7s
#150 Qwen3 Coder Next medium Qwen 2 5.3 1/3 638ms
#151 Trinity Large Preview none Arcee AI 2 5.3 1/3 877ms
#152 MiMo-V2-Flash none Xiaomi 2 5.3 1/3 564ms
#155 Mercury 2 none Inception 2 5.3 1/3 534ms
#156 Hy3 preview none Tencent 2 3.6 0/3 17.6s
#157 Grok 4.1 Fast none X AI 2 5.9 1/3 1.06s
#158 GLM 4.7 Flash medium Z.ai 2 3.5 0/3 174.6s
#2 Gemini 3.5 Flash high Google 1 7.6 2/3 14.1s
#3 Gemini 3.5 Flash low Google 1 7.7 2/3 3.39s
#4 Gemini 3.1 Pro Preview medium Google 1 7.7 2/3 32.7s

Top Models by Wrong answer Count

Wrong answer Count vs Score

Top Models by Response Time (avg)

Top Models by Estimated Wasted Cost