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Chinese LLMs Dominate Top 10 Open-Source Rankings

A recent analysis indicates that nine out of the top ten open-source large language models are now developed in China, with Llama being the only non-Chinese model remaining in the top tier. This shift is attributed to the release of models like GLM-5.2, DeepSeek-R1, and Qwen3, which have achieved state-of-the-art performance in various benchmarks, including coding, reasoning, and multimodal capabilities. Developers outside of China are facing access friction, requiring workarounds like third-party gateways such as haotokai.com to utilize these powerful models. AI

IMPACT Accelerates the need for global developers to establish reliable access to leading Chinese LLMs, potentially driving new gateway services.

RANK_REASON Analysis of LLM leaderboards shows a significant shift in open-source model dominance towards Chinese developers. [lever_c_demoted from significant: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · 欧阳石景 ·

    GLM-5.2 Made It Official: 9 of the Top 10 Open-Source LLMs Are Chinese

    <blockquote> <p>9 of the world's top 10 open-source LLMs are now Chinese. After <strong>GLM-5.2</strong> landed<br /> this week, the only non-Chinese model still in the top 10 is Llama. If you've been<br /> putting off integrating these models because the access path looks weird …