Kushindwa kwa kategoria za AI BENCHY
Uandishi wa msimbo: Jibu lisilo sahihi
Uandishi wa msimbo
Jibu lisilo sahihi
Ona ni modeli gani za AI zina uwezekano mkubwa wa kupata Jibu lisilo sahihi katika Uandishi wa msimbo, ili uone udhaifu haraka.
Sababu za kushindwa
| Nafasi | Modeli | Kampuni | Idadi ya Jibu lisilo sahihi | Alama ya kategoria | Majaribio sahihi | Muda wa majibu (wastani) |
|---|---|---|---|---|---|---|
| #137 | Qwen3.6 35B A3B none | Qwen | 1 | 6.8 | 1/2 | 12.3s |
| #139 | MiMo-V2.5 none | Xiaomi | 1 | 6.8 | 1/2 | 3.74s |
| #140 | Trinity Large Preview none | Arcee AI | 1 | 4.9 | 0/1 | 14.3s |
| #141 | Qwen3 Coder Next medium | Qwen | 1 | 4.1 | 0/2 | 1.17s |
| #144 | Hy3 preview none | Tencent | 1 | 2.3 | 0/1 | 4.56s |
| #146 | Ling-2.6-1T none | Inclusionai | 1 | 5.5 | 0/1 | 10.6s |
| #149 | MiMo-V2-Flash none | Xiaomi | 1 | 4.9 | 0/2 | 2.04s |
| #150 | Grok 4.1 Fast none | X AI | 1 | 5.3 | 0/1 | 1.79s |
| #153 | Granite 4.1 8B none | IBM Granite | 1 | 5.2 | 0/2 | 706ms |