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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)
#58 Gemini 3.1 Flash Lite Preview none Google 2 5.3 1/3 942ms
#140 Qwen3 Coder Next none Qwen 2 5.3 1/3 962ms
#48 Gemini 3 Flash Preview none Google 1 7.7 2/3 963ms
#34 Qwen3.7 Max none Qwen 1 7.7 2/3 975ms
#87 Gemini 3.1 Flash Lite minimal Google 3 2.9 0/3 1.02s
#159 Ling-2.6-1T none Inclusionai 3 3.0 0/3 1.04s
#157 Grok 4.1 Fast none X AI 2 5.9 1/3 1.06s
#125 GPT-5.4 none OpenAI 2 5.3 1/3 1.07s
#128 Qwen3.6 Flash none Qwen 2 5.3 1/3 1.11s
#95 Qwen3.5 Plus 2026-02-15 none Qwen 2 5.3 1/3 1.17s
#8 Claude Opus 4.7 none Anthropic 1 7.7 2/3 1.19s
#74 Qwen3.6 Max Preview none Qwen 1 7.7 2/3 1.22s
#91 GPT-5.5 none OpenAI 3 2.9 0/3 1.31s
#110 Seed-2.0-Lite none Bytedance Seed 3 3.6 0/3 1.33s
#124 Kimi K2.6 none Moonshot AI 2 5.3 1/3 1.48s

Top Models by Wrong answer Count

Wrong answer Count vs Score

Top Models by Response Time (avg)

Top Models by Estimated Wasted Cost