China’s Z.ai Launches GLM‑4.5 at Lower Cost Than DeepSeek
China’s Z.ai Launches GLM‑4.5 at Lower Cost Than DeepSeek
Chinese model GLM-4.5 challenges DeepSeek: cheaper, more compact, open
Chinese startup Z.ai (formerly known as Zhipu AI) has unveiled a new AI model, GLM-4.5 , claiming that it is not only more productive but also significantly cheaper to operate than DeepSeek, another high-profile project in the Chinese LLM market.GLM-4.5 is an open-source model that can be freely downloaded, deployed, and used in your own solutions. According to information posted on the company's official resources, it runs on just eight Nvidia H20 accelerators , making it one of the most affordable advanced Chinese models in 2025.
What makes the GLM-4.5 special
The developers claim that the model is built on the architecture of agent AI : unlike classic transformers, it can break down complex tasks into subtasks and perform them sequentially - which brings it closer to the logic of "smart agents". This direction is actively developing in China and is supported not only by private investors, but also at the level of industry strategies.According to the official Z.ai blog (July 2025), the cost of processing 1 million input tokens in GLM-4.5 is $0.11 , and the output is $0.28 . This is significantly lower than the estimated cost of similar operations in DeepSeek R1, where the price for output tokens exceeds $2.
By comparison, according to Hugging Face and GitHub (where both models are hosted), DeepSeek requires roughly twice as much hardware and has a more complex architecture. This means that GLM-4.5 is potentially cheaper to run not only in the context of the API, but also for companies running the model on their own infrastructure.
China’s Z.ai Launches GLM‑4.5 at Lower Cost Than DeepSeek
China's AI Strategy and the US Price Challenge
GLM-4.5 continues a general trend in China: lowering the barriers to entry into advanced AI technologies. Recall that in January 2025, DeepSeek R1 became a sensation thanks to its ability to do without the American A100 and H100 - bypassing sanctions. Now GLM-4.5 demonstrates that it is possible to create a commercially viable LLM without super-expensive chips.Founded in 2019, Z.ai has raised over $1.5 billion in funding, including from Alibaba , Tencent , and Qiming Venture Partners (PitchBook data, July 2025). However, due to restrictions imposed by the United States (see the US Department of Commerce Entity List), Z.ai has limited access to cutting-edge chips from Nvidia and AMD, making its success especially significant.
What's next?
Z.ai plans to promote GLM-4.5 as an industry standard for companies that require on-premises, secure AI infrastructure. Integration of the model into business products (including fintech, education, analytics) promises to be rapid — especially given that many Chinese enterprises are already testing the model.By Claire Whitmore
July 29, 2025
Join us. Our Telegram: @forexturnkey
All to the point, no ads. A channel that doesn't tire you out, but pumps you up.
FX24
Author’s Posts
-
Lunar Economy and Forex Markets: Why Artemis II Matters for Global Investors
Artemis II marks a new phase of the lunar economy. Discover how space competition impacts forex, commodities, and global markets. Re...
Mar 31, 2026
-
How to Set Stop Loss and Take Profit Like a Pro in 2026
Learn how to set stop loss and take profit like a pro in 2026. Strategies, risk management rules, and practical trading examples.
Mar 31, 2026
-
MAM Strategy Development: How to Build a Profitable Account Management System
Learn how to develop a MAM strategy step by step. Discover risk models, allocation logic, and forex account management techniques.
Mar 31, 2026
-
Unlimited Bandwidth for Multi-Account Trading: Why Fast Forex VPS Fits Unlimited Portfolio Management in 2026
Fast Forex VPS unlimited bandwidth enables multi-account trading without restrictions. Discover how unlimited data transfer boosts d...
Mar 31, 2026
-
Binary Options: Simplicity of Investing and the Reality of Fast Profits
Binary options explained in 2026. Learn how they work, potential profits, risks, and whether they are suitable for traders.
...Mar 31, 2026
Report
My comments