AI BENCHY
Advertise here

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)
#149 Nemotron 3 Nano Omni 30b A3b Reasoning medium NVIDIA 2 2.9 0/3 56.7s
#29 Qwen3.5-122B-A10B medium Qwen 3 2.9 0/3 63.4s
#15 GPT-5.3-Codex medium OpenAI 2 5.9 1/3 64.3s
#75 Ring-2.6-1T medium Inclusionai 3 3.5 0/3 64.9s
#45 GPT-5.4 Mini medium OpenAI 3 4.1 0/3 65.3s
#23 GLM 5 Turbo medium Z.ai 2 2.9 0/3 71.1s
#78 Qwen3.6 27B medium Qwen 3 2.9 0/3 73.4s
#96 Ring-2.6-1T none Inclusionai 2 5.3 1/3 73.4s
#21 GPT-5.4 medium OpenAI 2 5.3 1/3 74.3s
#42 GPT-5.2 medium OpenAI 1 5.9 1/3 77.8s
#30 Qwen3.5-27B medium Qwen 1 5.3 1/3 79.5s
#69 Claude Opus 4.6 medium Anthropic 1 3.0 0/3 83.4s
#66 Qwen3.5-35B-A3B medium Qwen 1 4.1 0/3 88.3s
#19 Seed-2.0-Lite medium Bytedance Seed 2 5.9 1/3 88.7s
#14 Qwen3.6 Max Preview medium Qwen 3 2.9 0/3 95.9s

Top Models by Wrong answer Count

Wrong answer Count vs Score

Top Models by Response Time (avg)

Top Models by Estimated Wasted Cost