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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

314

Most Affected Model

GLM 5 2
Rank Model Company Wrong answer Count Category Score Tests Correct Response Time (avg)
#85 Gemma 4 31B none Google 1 7.7 2/3 3.22s
#3 Gemini 3.5 Flash low Google 1 7.7 2/3 3.39s
#77 Claude Sonnet 4.6 none Anthropic 1 7.7 2/3 3.54s
#133 DeepSeek V3.2 none DeepSeek 2 2.9 0/3 4.17s
#40 Gemini 3.1 Flash Lite Preview medium Google 3 3.0 0/3 4.21s
#135 Kimi K2.5 none Moonshot AI 2 5.3 1/3 4.38s
#114 Qwen3.5 Plus 2026-04-20 none Qwen 2 5.3 1/3 4.43s
#138 Ling-2.6-flash none Inclusionai 3 3.0 0/3 4.95s
#7 Gemini 3.5 Flash medium Google 1 7.7 2/3 5.24s
#145 Laguna M.1 none Poolside 3 3.6 0/3 5.50s
#132 Mistral Small 4 medium Mistral 1 5.3 1/3 6.11s
#141 Nemotron 3 Super none NVIDIA 3 3.6 0/3 6.23s
#81 Mercury 2 medium Inception 3 2.9 0/3 6.48s
#35 Gemini 3 PRO Preview medium Google 2 5.3 1/3 7.01s
#153 Qwen3.6 35B A3B none Qwen 3 3.5 0/3 7.45s

Top Models by Wrong answer Count

Wrong answer Count vs Score

Top Models by Response Time (avg)

Top Models by Estimated Wasted Cost