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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)
#153 Granite 4.1 8B none IBM Granite 1 5.2 0/2 706ms
#92 Gemini 2.5 Flash none Google 1 6.8 1/2 810ms
#143 Mercury 2 none Inception 2 3.5 0/2 831ms
#78 Gemini 3.1 Flash Lite minimal Google 1 6.8 1/2 951ms
#97 Qwen3.5-Flash none Qwen 1 6.8 1/2 993ms
#136 GPT-5.4 Mini none OpenAI 1 6.8 1/2 1.01s
#135 Mistral Small 4 none Mistral 2 4.0 0/2 1.03s
#49 Gemini 3.1 Flash Lite Preview none Google 1 6.8 1/2 1.06s
#147 GPT-5.4 Nano none OpenAI 2 5.4 0/2 1.09s
#85 Gemini 3.1 Flash Lite none Google 1 6.8 1/2 1.13s
#117 Grok 4.20 Beta none X AI 1 5.5 0/1 1.14s
#141 Qwen3 Coder Next medium Qwen 1 4.1 0/2 1.17s
#120 Grok 4.20 none X AI 1 3.4 0/1 1.22s
#122 Elephant Alpha medium Openrouter 1 4.0 0/2 1.30s
#26 Qwen3.7 Max none Qwen 1 6.8 1/2 1.39s

Top Models by Wrong answer Count

Wrong answer Count vs Score

Top Models by Response Time (avg)

Top Models by Estimated Wasted Cost