aiqbench takeAI Policy

The shift from permissive MIT licenses to restrictive custom terms at the frontier highlights a growing divergence in how major Chinese model providers govern commercial deployment, contrasting with Western vendors like Google and Meta adopting Apache 2.0. This trend signals that high-revenue inference services may soon face mandatory security reviews and usage restrictions even when using open-weight models, fundamentally altering the landscape of model-as-a-service economics.

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Latest open artifacts (#24): Motif-3, GLM-5.3, Hy4-preview and open model licenses

InterconnectsSeptember 8, 20266 min read

The open model ecosystem continues to expand in its breadth

Avid Artifacts readers know that we have been covering not only models but also their licenses for quite some time. There was a period when custom licenses were all the rage, for example the custom Qwen2.5 72B-Instruct license or the Llama licenses. DeepSeek had a custom license for DeepSeek V3 before R1 changed it to MIT, which has resulted in many (Chinese) model makers adopting MIT or Apache 2.0 licenses in 2025. In 2026, open models are more competitive than ever, which has led to two interesting developments: Western model makers adopt open licenses, with both Google and Meta switching to Apache 2.0. Chinese model makers at the frontier, however, are becoming more restrictive: Kimi K3 comes with a license which requires commercial agreements for those…

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