The best argument for sovereign AI is also the most overlooked: open models are now good enough that, for most business work, the model is no longer the bottleneck. That changes how you should choose one.
Match the model to the job, not the leaderboard
Benchmarks measure frontier reasoning. Most office work, drafting, summarising, retrieval, document Q&A, does not need the frontier. A mid-sized open model running in the EU will handle it well while keeping every word in jurisdiction.
- Drafting and summarisation: a strong general model like Mistral or Llama
- Code and structured output: a coding-tuned model
- Multilingual or long documents: a long-context model such as Qwen
- Cost-sensitive, high-volume: a smaller, efficient model
The decision that matters more than the model
Where the model runs matters more than which one you pick. A frontier model on a US cloud is a sovereignty problem; a slightly smaller model on EU infrastructure is not. You can always swap the model later. You cannot un-send the data.
Why a catalogue beats a single vendor
Pryvan keeps several model families one click apart, so you are never locked to one lab's roadmap or pricing. Start with the model that fits today and change your mind freely, the compliance and infrastructure stay the same underneath.