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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)
#13 GLM 5 medium Z.ai 2 3.5 0/3 0ms
#26 Claude Sonnet 4.6 medium Anthropic 1 2.9 0/3 0ms
#98 LFM2-24B-A2B none Liquid 1 5.9 1/3 287ms
#83 Mistral Small 4 none Mistral 2 5.3 1/3 367ms
#90 Qwen3.5-9B none Qwen 3 3.0 0/3 464ms
#70 Qwen3.5-122B-A10B none Qwen 2 5.3 1/3 465ms
#63 Qwen3.5-35B-A3B none Qwen 1 7.7 2/3 485ms
#62 Gemini 2.5 Flash none Google 2 5.9 1/3 495ms
#91 Mercury 2 none Inception 2 5.3 1/3 534ms
#67 Qwen3.5-27B none Qwen 3 3.0 0/3 540ms
#94 MiMo-V2-Flash none Xiaomi 2 5.3 1/3 564ms
#79 Grok 4.20 Beta none X AI 3 3.0 0/3 611ms
#89 GPT-4o-mini none OpenAI 3 3.0 0/3 637ms
#92 Qwen3 Coder Next medium Qwen 2 5.3 1/3 638ms
#82 Grok 4.20 none X AI 2 3.0 0/3 687ms

Top Models by Wrong answer Count

Wrong answer Count vs Score

Top Models by Response Time (avg)

Top Models by Estimated Wasted Cost