Kushindwa kwa kategoria za AI BENCHY
Maarifa ya jumla: Jibu lisilo sahihi
Maarifa ya jumla
Jibu lisilo sahihi
Ona ni modeli gani za AI zina uwezekano mkubwa wa kupata Jibu lisilo sahihi katika Maarifa ya jumla, ili uone udhaifu haraka.
Sababu za kushindwa
| Nafasi | Modeli | Kampuni | Idadi ya Jibu lisilo sahihi | Alama ya kategoria | Majaribio sahihi | Muda wa majibu (wastani) |
|---|---|---|---|---|---|---|
| #128 | MiMo-V2.5 none | Xiaomi | 1 | 3.0 | 0/1 | 3.89s |
| #129 | Qwen3 Coder Next medium | Qwen | 1 | 3.0 | 0/1 | 399ms |
| #130 | Trinity Large Preview none | Arcee AI | 1 | 3.0 | 0/1 | 777ms |
| #131 | Mercury 2 none | Inception | 1 | 3.0 | 0/1 | 548ms |
| #132 | Qwen3.5-9B none | Qwen | 1 | 3.0 | 0/1 | 2.32s |
| #133 | HY3 Preview none | Tencent | 1 | 3.0 | 0/1 | 2.71s |
| #135 | GPT-5.4 Nano none | OpenAI | 1 | 3.0 | 0/1 | 773ms |
| #136 | GLM 4.7 Flash medium | Z.ai | 1 | 3.0 | 0/1 | 11.1s |
| #137 | MiMo-V2-Flash none | Xiaomi | 1 | 3.0 | 0/1 | 1.82s |
| #139 | Grok 4.1 Fast none | X AI | 1 | 3.0 | 0/1 | 731ms |
| #140 | Qwen3.5-9B medium | Qwen | 1 | 3.0 | 0/1 | 177.0s |
| #142 | Granite 4.1 8B none | IBM Granite | 1 | 3.0 | 0/1 | 306ms |