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AI BENCHY Category Failures

Data parsing and extraction: Wrong answer

Data parsing and extraction
Wrong answer

See which AI models are most likely to hit Wrong answer on Data parsing and extraction, so you can spot weak points faster. Sort by: Tests Correct ↑.

Models Shown

15

Total Failures

35

Most Affected Model

MiMo-V2.5 1
Rank Model Company Wrong answer Count Category Score Tests Correct Response Time (avg)
#99 gpt-oss-120b medium OpenAI 1 6.4 1/2 1.98s
#118 Qwen3.6 27B none Qwen 1 7.3 1/2 2.06s
#119 Cobuddy medium Baidu 1 6.3 1/2 17.4s
#122 GLM 4.7 Flash none Z.ai 1 7.3 1/2 4.82s
#130 MiniMax M2.7 medium Minimax 1 6.3 1/2 21.9s
#133 DeepSeek V3.2 none DeepSeek 1 6.3 1/2 9.42s
#135 Kimi K2.5 none Moonshot AI 1 7.3 1/2 42.1s
#136 Elephant Alpha medium Openrouter 1 6.5 1/2 979ms
#137 Elephant Alpha none Openrouter 1 6.5 1/2 1.04s
#138 Ling-2.6-flash none Inclusionai 1 6.5 1/2 8.48s
#140 Qwen3 Coder Next none Qwen 1 6.5 1/2 1.32s
#148 GPT-5.4 Nano none OpenAI 1 6.5 1/2 1.11s
#149 Nemotron 3 Nano Omni 30b A3b Reasoning medium NVIDIA 1 7.3 1/2 2.72s
#150 Qwen3 Coder Next medium Qwen 1 6.5 1/2 81.8s
#155 Mercury 2 none Inception 1 7.3 1/2 667ms

Top Models by Wrong answer Count

Wrong answer Count vs Score

Top Models by Response Time (avg)

Top Models by Estimated Wasted Cost