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) |
|---|---|---|---|---|---|---|
| #163 | Granite 4.1 8B none | IBM Granite | 2 | 3.0 | 0/2 | 575ms |
| #155 | Mercury 2 none | Inception | 1 | 7.3 | 1/2 | 667ms |
| #160 | LFM2-24B-A2B none | Liquid | 2 | 3.0 | 0/2 | 714ms |
| #136 | Elephant Alpha medium | Openrouter | 1 | 6.5 | 1/2 | 979ms |
| #137 | Elephant Alpha none | Openrouter | 1 | 6.5 | 1/2 | 1.04s |
| #81 | Mercury 2 medium | Inception | 1 | 7.3 | 1/2 | 1.11s |
| #148 | GPT-5.4 Nano none | OpenAI | 1 | 6.5 | 1/2 | 1.11s |
| #140 | Qwen3 Coder Next none | Qwen | 1 | 6.5 | 1/2 | 1.32s |
| #162 | Nemotron 3 Nano Omni 30b A3b Reasoning none | NVIDIA | 2 | 3.8 | 0/2 | 1.42s |
| #68 | Claude Opus 4.8 none | Anthropic | 1 | 7.3 | 1/2 | 1.77s |
| #99 | gpt-oss-120b medium | OpenAI | 1 | 6.4 | 1/2 | 1.98s |
| #118 | Qwen3.6 27B none | Qwen | 1 | 7.3 | 1/2 | 2.06s |
| #57 | Step 3.7 Flash low | Stepfun | 1 | 7.3 | 1/2 | 2.29s |
| #149 | Nemotron 3 Nano Omni 30b A3b Reasoning medium | NVIDIA | 1 | 7.3 | 1/2 | 2.72s |
| #122 | GLM 4.7 Flash none | Z.ai | 1 | 7.3 | 1/2 | 4.82s |