Qwen3.5 122B and 35B models offer Sonnet 4.5 performance on local computers
threshold crossing
investigated
The Qwen3.5 language models with 122 billion and 35 billion parameters demonstrate performance comparable to Sonnet 4.5, but crucially on local computers rather than requiring extensive cloud infrastructure.
This matters because enabling top-tier large language models to run locally disrupts centralized AI service models, catalyzing a shift toward more private, responsive, and hardware-dependent AI ecosystems that challenge current cloud-centric paradigms.
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