Yi-VL-34B VS GLM-4

Let’s have a side-by-side comparison of Yi-VL-34B vs GLM-4 to find out which one is better. This software comparison between Yi-VL-34B and GLM-4 is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether Yi-VL-34B or GLM-4 fits your business.

Yi-VL-34B

Yi-VL-34B
Yi Visual Language (Yi-VL) model is the open-source, multimodal version of the Yi Large Language Model (LLM) series, enabling content comprehension, recognition, and multi-round conversations about images.

GLM-4

GLM-4
The New Paradigm of Development Based on MaaS , Unleashing AI with our universal model service

Yi-VL-34B

Launched
Pricing Model Free
Starting Price
Tech used
Tag

GLM-4

Launched 2022-11
Pricing Model Freemium
Starting Price
Tech used
Tag

Yi-VL-34B Rank/Visit

Global Rank
Country
Month Visit

Top 5 Countries

Traffic Sources

GLM-4 Rank/Visit

Global Rank 0
Country
Month Visit 408629

Top 5 Countries

78.49%
12.23%
3.05%
1.55%
1.39%
China United States Taiwan, Province of China Japan Hong Kong

Traffic Sources

60.79%
27.96%
10.97%
0.27%
0.01%
Direct Referrals Search Social Mail

What are some alternatives?

When comparing Yi-VL-34B and GLM-4, you can also consider the following products

YiVal - Transform businesses with YiVal, an enterprise-grade generative AI platform. Develop high-performing apps with GPT-4 at a lower cost. Explore endless possibilities now!

VALL-E-X - Generate natural and expressive multilingual speech with VALL-E X. Cloning voices, controlling speech emotion, and experimenting with accents made easy!

Step-1V - Step-1V: A highly capable multimodal model developed by Jieyue Xingchen, showcasing exceptional performance in image understanding, multi-turn instruction following, mathematical ability, logical reasoning, and text creation.

Mini-Gemini - Mini-Gemini supports a series of dense and MoE Large Language Models (LLMs) from 2B to 34B with image understanding, reasoning, and generation simultaneously. We build this repo based on LLaVA.

More Alternatives