Last Updated on March 2, 2026
If you’re interested in utilizing powerful LLMs within Microsoft Word while prioritizing data privacy, we invite you to explore gpt-oss-20b via LocPilot in Word. You can view a comparison of OpenAI’s gpt-oss-20b and Microsoft’s Phi-4 by watching our demo video, which highlights their capabilities side-by-side. LocPilot in Word enables you to run these advanced models directly on your computer without needing internet access. By hosting them locally, you ensure complete data privacy, avoid monthly fees, and benefit from cutting-edge LLMs. This direction is at the core of our Local LLM Benchmarks for Microsoft Word, where we explore the move toward 100% data security on your intranet.
Here’s a quick demo. It’s powered by GPTLocalhost, which offers the same core features for individual use. LocPilot in Word is the intranet edition of GPTLocalhost designed for team collaboration. For a quick demo of LocPilot, please click here.
The video demonstrates how seamless and efficient this process can be. For more creative ideas on using private LLMs in Microsoft Word, please visit the additional demos available on our @LocPilot channel.
Technical Profile: Why GPT-OSS-20B? (Download Size: 12.11 GB)
When choosing a private AI for Word, it is helpful to look at the underlying architecture. Based on the model’s official documentation and our internal benchmarks, GPT-OSS-20B offers several key advantages for professional use:
- Massive 131K Context Window: Documentation shows a generous context window of 131,072 tokens. This allows the model to “read” and summarize entire contracts or multi-chapter reports in a single pass without losing the thread.
- The Power of MoE: This local LLM uses a Mixture-of-Experts design. It contains 20B total parameters but only activates approximately 3.6B parameters per token. This allows it to deliver the intelligence of a massive model with the speed and efficiency of a much smaller one. According to this post, the 20B model runs at >10 tokens/s in full precision, with 14GB RAM/unified memory.
Technical Profile: Why Phi-4? (Download Size: 9.05 GB)
Phi-4 is a strong fit for offline and private Word integrations because it delivers high-quality reasoning without the heavy infrastructure requirements of large cloud models. With a compact architecture optimized through careful data curation and training, Phi-4 offers reliable performance for document drafting, rewriting, and analysis.
- Efficient yet capable: Phi-4 balances model size and reasoning power, making it practical to run on consumer hardware while still performing well on logic-, math-, and language-heavy tasks commonly encountered in Word documents.
- Open and privacy-friendly: As an open-source model with flexible deployment options, Phi-4 can be used entirely offline, avoiding API costs and ensuring sensitive documents never leave your machine.
Grounded Performance: Tested on Mac M1 Max
Our tests were performed on a Mac M1 Max with 64GB of RAM, which is more than sufficient. In our experience, you do not need a server-grade supercomputer to run a world-class local LLM. The Unified Memory in Apple M-series chips (or a dedicated NVIDIA GPU on PC) provides the high bandwidth necessary for GPT-OSS-20B to generate text almost instantaneously. This ensures your private assistant feels just as fast as cloud-based alternatives.
The Local Advantage
Running GPT-OSS-20B or Phi-4 locally via LocPilot ensures:
- Air-Gapped Security: Operate entirely within your intranet — no external connections.
- Cost Savings: Eliminate subscription fees for the entire team — no ongoing costs.
- Model Flexibility: Easily host and switch models to suit your use cases — no vendor lock-in.