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) ↓.
Sababu za kushindwa
| Nafasi | Modeli | Kampuni | Idadi ya Jibu lisilo sahihi | Alama ya kategoria | Majaribio sahihi | Muda wa majibu (wastani) |
|---|---|---|---|---|---|---|
| #150 | Qwen3 Coder Next medium | Qwen | 1 | 6.5 | 1/2 | 81.8s |
| #96 | Ring-2.6-1T none | Inclusionai | 1 | 3.0 | 0/2 | 45.9s |
| #135 | Kimi K2.5 none | Moonshot AI | 1 | 7.3 | 1/2 | 42.1s |
| #75 | Ring-2.6-1T medium | Inclusionai | 1 | 6.5 | 1/2 | 37.4s |
| #130 | MiniMax M2.7 medium | Minimax | 1 | 6.3 | 1/2 | 21.9s |
| #94 | GPT-5 Nano medium | OpenAI | 2 | 3.7 | 0/2 | 21.4s |
| #43 | MiMo-V2.5-Pro medium | Xiaomi | 1 | 7.3 | 1/2 | 18.8s |
| #119 | Cobuddy medium | Baidu | 1 | 6.3 | 1/2 | 17.4s |
| #51 | Mimo V2 PRO medium | Xiaomi | 1 | 7.3 | 1/2 | 17.2s |
| #10 | Claude Opus 4.8 medium | Anthropic | 1 | 7.1 | 1/2 | 12.3s |
| #133 | DeepSeek V3.2 none | DeepSeek | 1 | 6.3 | 1/2 | 9.42s |
| #100 | Grok Build 0.1 none | X AI | 1 | 3.8 | 0/2 | 9.33s |
| #138 | Ling-2.6-flash none | Inclusionai | 1 | 6.5 | 1/2 | 8.48s |
| #129 | MiniMax M2.5 medium | Minimax | 2 | 4.6 | 0/2 | 7.48s |
| #56 | MiMo-V2.5 medium | Xiaomi | 1 | 2.7 | 0/2 | 6.33s |