Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • TrustInSoft Analyzer Reviews & Ratings
    4.3 out of 5 stars 6 Ratings
    Company Website for TrustInSoft Analyzer
  • Evertune Reviews & Ratings
    5.0 out of 5 stars 1 Rating
    Company Website for Evertune
  • RetailEdge Reviews & Ratings
    4.8 out of 5 stars 201 Ratings
    Company Website for RetailEdge
  • Buildium Reviews & Ratings
    4.5 out of 5 stars 2,563 Ratings
    Company Website for Buildium
  • RaimaDB Reviews & Ratings
    4.8 out of 5 stars 12 Ratings
    Company Website for RaimaDB
  • ARGOS Identity Reviews & Ratings
    4.9 out of 5 stars 8 Ratings
    Company Website for ARGOS Identity
  • AthenaHQ Reviews & Ratings
    4.9 out of 5 stars 41 Ratings
    Company Website for AthenaHQ
  • Dialpad Support Reviews & Ratings
    4.4 out of 5 stars 1,629 Ratings
    Company Website for Dialpad Support
  • Runpod Reviews & Ratings
    4.2 out of 5 stars 230 Ratings
    Company Website for Runpod
  • ONLYOFFICE Docs Reviews & Ratings
    4.6 out of 5 stars 715 Ratings
    Company Website for ONLYOFFICE Docs

What is Phi-4-mini-reasoning?

Phi-4-mini-reasoning is an advanced transformer-based language model that boasts 3.8 billion parameters, tailored specifically for superior performance in mathematical reasoning and systematic problem-solving, especially in scenarios with limited computational resources and low latency. The model's optimization is achieved through fine-tuning with synthetic data generated by the DeepSeek-R1 model, which effectively balances performance and intricate reasoning skills. Having been trained on a diverse set of over one million math problems that vary from middle school level to Ph.D. complexity, Phi-4-mini-reasoning outperforms its foundational model by generating extensive sentences across numerous evaluations and surpasses larger models like OpenThinker-7B, Llama-3.2-3B-instruct, and DeepSeek-R1 in various tasks. Additionally, it features a 128K-token context window and supports function calling, which ensures smooth integration with different external tools and APIs. This model can also be quantized using the Microsoft Olive or Apple MLX Framework, making it deployable on a wide range of edge devices such as IoT devices, laptops, and smartphones. Furthermore, its design not only enhances accessibility for users but also opens up new avenues for innovative applications in the realm of mathematics, potentially revolutionizing how such problems are approached and solved.

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.

Media

Media

Integrations Supported

Hugging Face
Microsoft Foundry
ExecuTorch
Microsoft Azure
Microsoft Foundry Models

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard 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

azure.microsoft.com/en-us/blog/one-year-of-phi-small-language-models-making-big-leaps-in-ai/

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/

Categories and Features

AI Models

Not specified

AI Reasoning Models

Not specified

Small Language Models

Not specified

Categories and Features

AI Models

Not specified

AI Reasoning Models

Not specified

Small Language Models

Not specified

Popular Alternatives

Phi-4-reasoning Reviews & Ratings

Phi-4-reasoning

Microsoft

Popular Alternatives

Phi-4-reasoning Reviews & Ratings

Phi-4-reasoning

Microsoft
Muse Glimmer Reviews & Ratings

Muse Glimmer

Meta
5.0 out of 5 stars