In 2025, Chinese-built large language models Kimi K2, Qwen 3, and GLM 4.5 offer significant advantages in coding and AI tasks by leveraging Mixture-of-Experts architectures, each catering to different strengths. Kimi K2 excels in coding and agentic reasoning with a balanced cost and a 130K token context window, making it ideal for coding assistants and multi-step tasks. Qwen 3 Coder, with a vast context window extendable to 1M tokens, specializes in large-codebase refactoring and multilingual capabilities. GLM 4.5 prioritizes tool-calling efficiency, achieving high tool-calling success with minimal hardware requirements, making it suitable for debugging and agentic workflows. These models are disrupting the AI landscape by offering competitive performance at a fraction of the cost of Western alternatives, supported by open licensing and local deployment options. Clarifai’s platform further enhances their deployment and integration into production environments, highlighting the growing significance of Chinese models in redefining AI capabilities and cost structures.