A hands-on look at running Gemma 4 locally—and where small models actually outperform API-based AI.

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Running Gemma 4 locally proves that small open-weight models are already practical for real workflows, not just demos.

They deliver predictable latency, zero API cost, and full data control, but require better prompting and struggle with deep reasoning.

The optimal approach is hybrid—use local models for structured, privacy-sensitive tasks and APIs for complex reasoning.