Kushindwa kwa kategoria za AI BENCHY
Ufuataji wa maagizo: Jibu lisilo sahihi
Ufuataji wa maagizo
Jibu lisilo sahihi
Ona ni modeli gani za AI zina uwezekano mkubwa wa kupata Jibu lisilo sahihi katika Ufuataji wa maagizo, ili uone udhaifu haraka.
Sababu za kushindwa
| Nafasi | Modeli | Kampuni | Idadi ya Jibu lisilo sahihi | Alama ya kategoria | Majaribio sahihi | Muda wa majibu (wastani) |
|---|---|---|---|---|---|---|
| #86 | GPT-5.4 Mini none | OpenAI | 1 | 6.3 | 1/2 | 728ms |
| #88 | Nemotron 3 Super none | NVIDIA | 1 | 4.9 | 0/2 | 1.50s |
| #89 | GPT-4o-mini none | OpenAI | 1 | 4.8 | 0/2 | 1.27s |
| #90 | Qwen3.5-9B none | Qwen | 1 | 6.5 | 1/2 | 514ms |
| #91 | Mercury 2 none | Inception | 1 | 6.5 | 1/2 | 551ms |
| #92 | Qwen3 Coder Next medium | Qwen | 1 | 4.8 | 0/2 | 7.34s |
| #93 | GLM 4.7 Flash medium | Z.ai | 1 | 6.2 | 1/2 | 2.97s |
| #94 | MiMo-V2-Flash none | Xiaomi | 1 | 6.5 | 1/2 | 857ms |
| #96 | GPT-5.4 Nano none | OpenAI | 1 | 5.0 | 0/2 | 787ms |