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) |
|---|---|---|---|---|---|---|
| #77 | Grok 4.20 none | X AI | 1 | 3.4 | 0/1 | 1.22s |
| #78 | Mistral Small 4 none | Mistral | 1 | 4.5 | 0/1 | 1.28s |
| #79 | gpt-oss-120b none | OpenAI | 1 | 4.3 | 0/1 | 9.57s |
| #81 | Qwen3 Coder Next none | Qwen | 1 | 7.3 | 0/1 | 3.14s |
| #82 | Nemotron 3 Super none | NVIDIA | 1 | 3.3 | 0/1 | 2.99s |
| #83 | GPT-4o-mini none | OpenAI | 1 | 3.0 | 0/1 | 2.55s |
| #84 | Qwen3.5-9B none | Qwen | 1 | 5.2 | 0/1 | 5.69s |
| #85 | Mercury 2 none | Inception | 1 | 3.6 | 0/1 | 969ms |
| #88 | MiMo-V2-Flash none | Xiaomi | 1 | 6.3 | 0/1 | 2.79s |
| #89 | Grok 4.1 Fast none | X AI | 1 | 5.3 | 0/1 | 1.79s |
| #90 | GPT-5.4 Nano none | OpenAI | 1 | 7.1 | 0/1 | 1.43s |