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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. Sort by: Tests Correct ↑.

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)
#149 Nemotron 3 Nano Omni 30b A3b Reasoning medium NVIDIA 2 2.9 0/3 56.7s
#153 Qwen3.6 35B A3B none Qwen 3 3.5 0/3 7.45s
#154 Qwen3.5-9B none Qwen 3 3.0 0/3 464ms
#156 Hy3 preview none Tencent 2 3.6 0/3 17.6s
#158 GLM 4.7 Flash medium Z.ai 2 3.5 0/3 174.6s
#159 Ling-2.6-1T none Inclusionai 3 3.0 0/3 1.04s
#162 Nemotron 3 Nano Omni 30b A3b Reasoning none NVIDIA 3 3.6 0/3 489ms
#163 Granite 4.1 8B none IBM Granite 3 3.0 0/3 357ms
#5 Qwen3.7 Max medium Qwen 2 5.9 1/3 24.9s
#6 GPT-5.5 low OpenAI 2 5.3 1/3 28.1s
#9 GPT-5.5 medium OpenAI 2 5.3 1/3 164.1s
#10 Claude Opus 4.8 medium Anthropic 2 5.3 1/3 14.2s
#12 Gemini 3.1 Flash Lite Preview high Google 2 5.3 1/3 127.6s
#13 Grok 4.20 Beta medium X AI 2 5.3 1/3 21.3s
#15 GPT-5.3-Codex medium OpenAI 2 5.9 1/3 64.3s

Top Models by Wrong answer Count

Wrong answer Count vs Score

Top Models by Response Time (avg)

Top Models by Estimated Wasted Cost