AI BENCHY
Your ad here

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: Muda wa majibu (wastani) ↓.

Modeli zilizoonyeshwa

15

Jumla ya kushindwa

19

Modeli iliyoathirika zaidi

Qwen3 Coder Next 1
Nafasi Modeli Kampuni Idadi ya Jibu lisilo sahihi Alama ya kategoria Majaribio sahihi Muda wa majibu (wastani)
#92 Qwen3 Coder Next medium Qwen 1 6.5 1/2 81.8s
#76 Kimi K2.5 none Moonshot AI 1 7.3 1/2 42.1s
#80 MiniMax M2.7 medium Minimax 1 6.3 1/2 21.9s
#57 GPT-5 Nano medium OpenAI 2 3.7 0/2 21.4s
#23 MiMo-V2-Pro medium Xiaomi 1 7.3 1/2 17.2s
#64 DeepSeek V3.2 none DeepSeek 1 6.3 1/2 9.42s
#71 MiniMax M2.5 medium Minimax 2 4.6 0/2 7.48s
#74 GLM 4.7 Flash none Z.ai 1 7.3 1/2 4.82s
#68 gpt-oss-120b medium OpenAI 1 6.4 1/2 1.98s
#87 Qwen3 Coder Next none Qwen 1 6.5 1/2 1.32s
#96 GPT-5.4 Nano none OpenAI 1 6.5 1/2 1.11s
#54 Mercury 2 medium Inception 1 7.3 1/2 1.11s
#85 Elephant none Openrouter 1 6.5 1/2 1.04s
#81 Elephant medium Openrouter 1 6.5 1/2 979ms
#98 LFM2-24B-A2B none Liquid 2 3.0 0/2 714ms

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