In May 2026, reporting on OpenRouter — one of the most-used third-party model routers — showed that models from Chinese labs accounted for around 60% of all usage on the platform, making the open-weights tier effectively Chinese-led. For teams that use open models, this isn’t a geopolitical talking point; it’s an architecture and compliance question that needs an answer.
Why it happened
Open-weight models from several Chinese labs became genuinely competitive on quality while remaining free to download and run. For cost-sensitive workloads, that’s a strong pull. Usage followed capability and price, as it usually does.
The questions it raises
- Data residency and compliance: where is the model running, and does your industry’s regulation care about the model’s origin?
- Supply stability: open weights you’ve already downloaded can’t be revoked, which is an argument in their favour.
- Due diligence: licensing terms, security review of the weights and serving stack, and documentation quality vary a lot between models.
The pragmatic position
For many internal and non-sensitive workloads, a competitive open model you host yourself reduces provider dependency and cost. For regulated or sensitive data, the origin of the model and where it runs may be a hard constraint. Make that call deliberately, per workload — don’t adopt or avoid a whole category on reflex.
Summary: The open-weights shift is a reminder that “which model” is now also “whose model, running where” — and that question belongs in your design review, not just procurement.
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