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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

182

Most Affected Model

Gemini 3.1 Pro Preview 1
Rank Model Company Wrong answer Count Category Score Tests Correct Response Time (avg)
#77 GLM 5 Turbo none Z.ai 2 5.3 1/3 1.97s
#78 Trinity Large Preview none Arcee AI 2 5.3 1/3 877ms
#83 Mistral Small 4 none Mistral 2 5.3 1/3 367ms
#87 Qwen3 Coder Next none Qwen 2 5.3 1/3 962ms
#91 Mercury 2 none Inception 2 5.3 1/3 534ms
#92 Qwen3 Coder Next medium Qwen 2 5.3 1/3 638ms
#94 MiMo-V2-Flash none Xiaomi 2 5.3 1/3 564ms
#95 Grok 4.1 Fast none X AI 2 5.9 1/3 1.06s
#98 LFM2-24B-A2B none Liquid 1 5.9 1/3 287ms
#9 Qwen3.6 Plus Preview medium Qwen 3 3.0 0/3 22.1s
#13 GLM 5 medium Z.ai 2 3.5 0/3 0ms
#17 Gemini 3.1 Flash Lite Preview medium Google 3 3.0 0/3 4.21s
#18 GLM 5 Turbo medium Z.ai 2 2.9 0/3 71.1s
#19 Qwen3.5-122B-A10B medium Qwen 3 2.9 0/3 63.4s
#20 Qwen3.6 Plus medium Qwen 3 2.9 0/3 29.6s

Top Models by Wrong answer Count

Wrong answer Count vs Score

Top Models by Response Time (avg)

Top Models by Estimated Wasted Cost