Last Updated on February 7, 2026
As professionals prioritize high-level security over cloud-based assistants, the shift toward deploying local LLMs directly on private hardware has become the definitive path to a true Microsoft Copilot alternative. This strategy—centered on achieving 100% data ownership—is the foundation of our comprehensive guide to Private AI for Word, where we showcase various performance testing of models. In this post, by evaluating GLM-4-32B-0414 and Gemma-3-27B-IT-QAT models for speed and creative rewriting quality, we demonstrate how local integration provides impressive AI capabilities without compromising document confidentiality or incurring recurring fees.
Watch: Private AI for Word Demo
This demonstration illustrates the integration of local models within Microsoft Word. The video provides a side-by-side performance comparison between GLM-4-32B-0414 and Gemma-3-27B-IT-QAT.
The Local Advantage
Running GLM-4-32B-0414 and Gemma-3-27B-IT-QAT locally via GPTLocalhost ensures:
- Data Ownership: No cloud data leaks.
- Zero Network Latency: Faster performance on GPU and Apple Silicon.
- Offline Access: Work anywhere, including on a plane ✈️, without an internet connection.