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What is Phi-4-mini-flash-reasoning?

The Phi-4-mini-flash-reasoning model, boasting 3.8 billion parameters, is a key part of Microsoft's Phi series, tailored for environments with limited processing capabilities such as edge and mobile platforms. Its state-of-the-art SambaY hybrid decoder architecture combines Gated Memory Units (GMUs) with Mamba state-space and sliding-window attention layers, resulting in performance improvements that are up to ten times faster and decreasing latency by two to three times compared to previous iterations, while still excelling in complex reasoning tasks. Designed to support a context length of 64K tokens and fine-tuned on high-quality synthetic datasets, this model is particularly effective for long-context retrieval and real-time inference, making it efficient enough to run on a single GPU. Accessible via platforms like Azure AI Foundry, NVIDIA API Catalog, and Hugging Face, Phi-4-mini-flash-reasoning presents developers with the tools to build applications that are both rapid and highly scalable, capable of performing intensive logical processing. This extensive availability encourages a diverse group of developers to utilize its advanced features, paving the way for creative and innovative application development in various fields.

What is Mercury Voice?

Mercury embodies a cutting-edge collection of diffusion large language models meticulously crafted to deliver exceptional LLM performance at impressive speeds, capable of processing over 1,000 tokens per second on commercial NVIDIA GPUs for instant AI applications. Engineered for compatibility with OpenAI, these models aim to effortlessly supplant conventional LLMs, making integration into existing AI systems simpler than ever. Notably, Mercury 2.5 emerges as the most advanced reasoning diffusion LLM, specifically designed for complex tasks where high performance and quality are of utmost importance. It features an extensive 260K context window, which facilitates sophisticated reasoning, the use of tools, and organized output, proving useful in a range of applications from rapid coding cycles to the creation of agents, customer support systems, and enterprise-level search capabilities. Furthermore, Mercury Voice is expertly optimized for voice agents, achieving an impressive time-to-first-token of under 170 ms while also supporting reasoning, tool usage, structured outputs, and a 128K context window. This makes it exceptionally adaptable for numerous applications, such as customer support, healthcare assistance, educational platforms, and interactive gaming experiences. In essence, the Mercury family is dedicated to expanding the frontiers of what AI can achieve in real-time scenarios, continuously striving for innovation and excellence. As they push the limits of technology, they open new avenues for enhancing user experiences across diverse sectors.

Media

Media

Integrations Supported

Hugging Face
Microsoft 365 Copilot
Microsoft Foundry
Microsoft Foundry Agent Service
NVIDIA DRIVE

Integrations Supported

Claude Haiku 4.5
GPT-5.6 Luna
Gemini 3.5 Flash-Lite
OpenAI

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0.04 per 1M tokens
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/blog/reasoning-reimagined-introducing-phi-4-mini-flash-reasoning/

Company Facts

Organization Name

Inception

Company Location

United States

Company Website

www.inceptionlabs.ai/models

Categories and Features

AI Models

Not specified

AI Reasoning Models

Not specified

Small Language Models

Not specified

Categories and Features

AI Models

Not specified

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