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AI BENCHY Category Failures

Coding: Wrong answer

Coding
Wrong answer

See which AI models are most likely to hit Wrong answer on Coding, so you can spot weak points faster. Sort by: Response Time (avg) ↑.

Models Shown

15

Total Failures

120

Most Affected Model

Granite 4.1 8B 1
Rank Model Company Wrong answer Count Category Score Tests Correct Response Time (avg)
#39 Gemini 3 Flash Preview none Google 1 6.8 1/2 2.19s
#90 Mercury 2 medium Inception 1 7.2 1/2 2.29s
#116 Qwen3.6 Flash none Qwen 1 6.6 1/2 2.34s
#88 Qwen3.5 Plus 2026-02-15 none Qwen 2 4.9 0/2 2.54s
#125 GLM 5 Turbo none Z.ai 2 4.4 0/2 2.58s
#107 MiMo-V2-Pro none Xiaomi 1 6.8 1/2 2.65s
#93 MiMo-V2-Omni none Xiaomi 1 5.1 0/2 2.75s
#123 Laguna M.1 none Poolside 1 7.5 0/1 2.93s
#99 Seed-2.0-Lite none Bytedance Seed 1 6.8 1/2 2.95s
#134 Nemotron 3 Super none NVIDIA 2 3.4 0/2 3.02s
#66 Qwen3.6 Max Preview none Qwen 2 4.2 0/2 3.06s
#109 GLM 4.7 Flash none Z.ai 2 5.0 0/2 3.35s
#35 Gemini 3.1 Flash Lite medium Google 1 6.8 1/2 3.59s
#139 MiMo-V2.5 none Xiaomi 1 6.8 1/2 3.74s
#98 GLM 5V Turbo none Z.ai 1 6.8 1/2 3.77s

Top Models by Wrong answer Count

Wrong answer Count vs Score

Top Models by Response Time (avg)

Top Models by Estimated Wasted Cost