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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: Response Time (avg) ↑.

Models Shown

15

Total Failures

182

Most Affected Model

GLM 5 2
Rank Model Company Wrong answer Count Category Score Tests Correct Response Time (avg)
#74 GLM 4.7 Flash none Z.ai 1 7.7 2/3 744ms
#78 Trinity Large Preview none Arcee AI 2 5.3 1/3 877ms
#59 Qwen3.5-Flash none Qwen 1 7.7 2/3 905ms
#81 Elephant medium Openrouter 3 3.0 0/3 925ms
#96 GPT-5.4 Nano none OpenAI 3 2.9 0/3 926ms
#85 Elephant none Openrouter 3 3.0 0/3 927ms
#86 GPT-5.4 Mini none OpenAI 3 3.5 0/3 937ms
#29 Gemini 3.1 Flash Lite Preview none Google 2 5.3 1/3 942ms
#87 Qwen3 Coder Next none Qwen 2 5.3 1/3 962ms
#21 Gemini 3 Flash Preview none Google 1 7.7 2/3 963ms
#95 Grok 4.1 Fast none X AI 2 5.9 1/3 1.06s
#66 GPT-5.4 none OpenAI 2 5.3 1/3 1.07s
#55 MiMo-V2-Omni none Xiaomi 2 5.3 1/3 1.14s
#49 Qwen3.5 Plus 2026-02-15 none Qwen 2 5.3 1/3 1.17s
#4 Claude Opus 4.7 none Anthropic 1 7.7 2/3 1.19s

Top Models by Wrong answer Count

Wrong answer Count vs Score

Top Models by Response Time (avg)

Top Models by Estimated Wasted Cost