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Uchanganuzi na uchimbaji wa data: Jibu lisilo sahihi

Uchanganuzi na uchimbaji wa data
Jibu lisilo sahihi

Ona ni modeli gani za AI zina uwezekano mkubwa wa kupata Jibu lisilo sahihi katika Uchanganuzi na uchimbaji wa data, ili uone udhaifu haraka.

Modeli zilizoonyeshwa

15

Jumla ya kushindwa

35

Modeli iliyoathirika zaidi

GPT-5 Nano 2
Nafasi Modeli Kampuni Idadi ya Jibu lisilo sahihi Alama ya kategoria Majaribio sahihi Muda wa majibu (wastani)
#100 Grok Build 0.1 none X AI 1 3.8 0/2 9.33s
#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

Modeli bora kwa Idadi ya Jibu lisilo sahihi

Idadi ya Jibu lisilo sahihi dhidi ya Alama

Modeli bora kwa Muda wa majibu (wastani)

Modeli bora kwa Gharama iliyopotezwa inayokadiriwa