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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

26

Most Affected Model

Mercury 2 1
Rank Model Company Wrong answer Count Category Score Tests Correct Response Time (avg)
#85 Mercury 2 none Inception 1 3.6 0/1 969ms
#75 Grok 4.20 Beta none X AI 1 5.5 0/1 1.14s
#77 Grok 4.20 none X AI 1 3.4 0/1 1.22s
#78 Mistral Small 4 none Mistral 1 4.5 0/1 1.28s
#90 GPT-5.4 Nano none OpenAI 1 7.1 0/1 1.43s
#52 MiMo-V2-Omni none Xiaomi 1 6.6 0/1 1.72s
#89 Grok 4.1 Fast none X AI 1 5.3 0/1 1.79s
#83 GPT-4o-mini none OpenAI 1 3.0 0/1 2.55s
#88 MiMo-V2-Flash none Xiaomi 1 6.3 0/1 2.79s
#82 Nemotron 3 Super none NVIDIA 1 3.3 0/1 2.99s
#81 Qwen3 Coder Next none Qwen 1 7.3 0/1 3.14s
#66 Qwen3.5-122B-A10B none Qwen 1 4.3 0/1 3.44s
#46 Qwen3.5 Plus 2026-02-15 none Qwen 1 6.3 0/1 3.63s
#73 GLM 5 Turbo none Z.ai 1 5.3 0/1 3.93s
#70 GLM 4.7 Flash none Z.ai 1 6.4 0/1 5.57s

Top Models by Wrong answer Count

Wrong answer Count vs Score

Top Models by Response Time (avg)

Top Models by Estimated Wasted Cost