Chinese LLMs — led by DeepSeek and Kimi — have shifted the global model landscape from a US-dominated API market to a multipolar competition where open-source weights, aggressive pricing, and sovereign training runs matter as much as benchmark scores. The articles below track what that shift means for European SMEs choosing vendors, pricing inference, and planning for supplier diversification.
Key themes
DeepSeek's open-source challenge to GPT-5 and what it means for model pricing power in Europe
Kimi K2 Thinking and the end of the single-frontier-model assumption for enterprise strategy
Geopolitical supply risk: why a one-vendor AI stack is increasingly hard to defend
Open-source model viability on European hardware versus cloud API dependency
Reading the US-China AI race as a procurement signal, not a spectator sport
Why it matters
European SMEs that standardized on a single US API provider in 2024 are now facing a market where open-source alternatives match capability at a fraction of the cost, and where geopolitical friction could reshape vendor availability faster than a procurement cycle. Understanding Chinese LLMs is not about geopolitics; it is about negotiating power, fallback options, and the timeline for when a self-hosted DeepSeek variant becomes the cheaper, more sovereign choice. These articles give decision-makers the context to diversify before they are forced to.
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