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What is Mu?

On June 23, 2025, Microsoft introduced Mu, a cutting-edge language model boasting 330 million parameters and designed to significantly improve the agent experience in Windows environments by seamlessly converting natural language questions into functional calls for Settings, with all operations executed on-device via NPUs at an impressive speed exceeding 100 tokens per second while maintaining high accuracy. Utilizing Phi Silica optimizations, Mu's encoder-decoder architecture employs a fixed-length latent representation that notably minimizes computational requirements and memory consumption, achieving a 47 percent decrease in first-token latency and delivering a decoding speed that is 4.7 times faster on Qualcomm Hexagon NPUs in comparison to traditional decoder-only models. Furthermore, the model is enhanced by hardware-aware tuning methodologies, which incorporate a strategic 2/3–1/3 division of encoder and decoder parameters, shared weights for both input and output embeddings, Dual LayerNorm, rotary positional embeddings, and grouped-query attention, facilitating rapid inference rates that surpass 200 tokens per second on devices like the Surface Laptop 7, along with response times for settings-related queries that are under 500 ms. This impressive blend of features and optimizations establishes Mu as a revolutionary development in the realm of on-device language processing capabilities, setting new standards for speed and efficiency. As a result, users can expect a more intuitive and responsive experience when interacting with their Windows settings through natural language.

What is Mercury 2?

Mercury 2 signifies a revolutionary leap in reasoning models, particularly tailored for instantaneous voice interactions, as it can promptly respond to incoming calls. In contrast to conventional autoregressive models that often leave callers waiting in silence while they generate responses sequentially, Mercury 2 uses a diffusion large language model architecture that can produce more than 1000 tokens per second on standard NVIDIA GPUs. This extraordinary processing speed enables it to finalize a complete reasoning cycle and start speaking in a timeframe that harmonizes with the natural flow of conversation, effectively reducing the usual wait time from several seconds to around 300 milliseconds. The functionality of Mercury models revolves around converting clear text into noise, after which a traditional Transformer is trained to reverse this process and predict the original text simultaneously across all positions. By adopting a denoising strategy that processes multiple tokens concurrently, the generation process becomes more efficient, achieving speeds comparable to customized silicon on NVIDIA H100s while enhancing responsiveness in voice applications. Consequently, Mercury 2 not only improves user interactions but also establishes a new benchmark for the field of interactive voice technology, paving the way for future advancements. With its innovative design, it promises to revolutionize the way users engage with voice systems.

Media

Media

Integrations Supported

Cerebras
GPT-4.1
Groq
Inception Labs
LiveKit
OpenAI
Pipecat
Retell AI
Vapi AI

Integrations Supported

Cerebras
GPT-4.1
Groq
Inception Labs
LiveKit
OpenAI
Pipecat
Retell AI
Vapi AI

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

blogs.windows.com/windowsexperience/2025/06/23/introducing-mu-language-model-and-how-it-enabled-the-agent-in-windows-settings/

Company Facts

Organization Name

Inception

Company Location

United States

Company Website

www.inceptionlabs.ai/blog/mercury-2-the-first-reasoning-model-fast-enough-to-pick-up-the-phone

Categories and Features

Categories and Features

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