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Kushindwa kwa kategoria za AI BENCHY

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. Panga kwa: Idadi ya kushindwa ↑.

Modeli zilizoonyeshwa

15

Jumla ya kushindwa

35

Modeli iliyoathirika zaidi

Claude Opus 4.8 1
Nafasi Modeli Kampuni Idadi ya Jibu lisilo sahihi Alama ya kategoria Majaribio sahihi Muda wa majibu (wastani)
#10 Claude Opus 4.8 medium Anthropic 1 7.1 1/2 12.3s
#43 MiMo-V2.5-Pro medium Xiaomi 1 7.3 1/2 18.8s
#51 Mimo V2 PRO medium Xiaomi 1 7.3 1/2 17.2s
#56 MiMo-V2.5 medium Xiaomi 1 2.7 0/2 6.33s
#57 Step 3.7 Flash low Stepfun 1 7.3 1/2 2.29s
#68 Claude Opus 4.8 none Anthropic 1 7.3 1/2 1.77s
#75 Ring-2.6-1T medium Inclusionai 1 6.5 1/2 37.4s
#81 Mercury 2 medium Inception 1 7.3 1/2 1.11s
#96 Ring-2.6-1T none Inclusionai 1 3.0 0/2 45.9s
#99 gpt-oss-120b medium OpenAI 1 6.4 1/2 1.98s
#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

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