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Chinese AI labs are making waves with their latest open-weight models, surpassing Western competitors and offering more permissive licenses, signaling a major shift in the industry's power dynamics.
This month has seen a significant shift in the landscape of open-weight models, with several impressive releases from Chinese AI labs. While I’ve always had a soft spot for Mistral, Gemma, and Llama, the latest models from Qwen, Moonshot, and Z.ai have set new benchmarks that are hard to ignore.
Over the course of July 2025, Chinese AI labs released a series of models that not only outperform their Western counterparts but also come with more accessible licensing. Here’s a breakdown of what was released:
One of the standout features of these models is their licensing. While Moonshot’s Kimi K2 uses a non-OSI-compliant modified MIT license, all Qwen models are licensed under Apache 2.0, and Z.ai’s models use the MIT license. This makes them more accessible for both commercial and academic use.
The larger models from Chinese labs offer their own APIs, making it easier to integrate them into existing workflows. Additionally, some of these models, like the Qwen 30B and GLM-4.5 Air 106B, can be run on personal laptops, which is a significant advantage for developers who want to experiment without heavy infrastructure.
The performance of these models is nothing short of impressive. For example, the Moonshot Kimi-K2-Instruct with its 1 trillion parameters sets a new standard in terms of scale and capability. The Qwen3-480B-A35B-Coder is particularly noteworthy for its coding capabilities, while the smaller 30 billion parameter models offer a balance between performance and resource efficiency.
It’s worth noting that DeepSeek, another prominent player in the AI space, hasn’t released any new models since April. Their last release, DeepSeek-R1-0528, is available on Hugging Face but doesn’t match the recent advancements from Chinese labs.
The delay in releasing OpenAI’s open-weight model has raised some eyebrows. It’s possible that they are aiming to launch a model that can stand out against this impressive lineup from Chinese AI labs. Indeed, when OpenAI did release their models on August 5th, they were highly competitive.
The rapid advancements and open-source nature of these Chinese AI models have significant implications for the AI community. They not only push the boundaries of what’s possible but also make cutting-edge technology more accessible to a broader audience. As we move forward, it will be exciting to see how these models are adopted and integrated into various applications.
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About the author
Kai built ML infrastructure at a Bay Area startup before developing an obsession with transformer architectures and inference optimisation that eventually pulled him out of product work entirely. A stint at a compute research lab sharpened his instinct for what actually matters in a model release versus what is marketing. He writes from the inside — from the perspective of someone who has debugged the systems he is describing at three in the morning. He is allergic to hype and instinctively drawn to the unglamorous plumbing questions that everyone else skips over.
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31 July 2025
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