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

  • RaimaDB Reviews & Ratings
    4.8 out of 5 stars 12 Ratings
    Company Website for RaimaDB
  • LM-Kit.NET Reviews & Ratings
    4.8 out of 5 stars 29 Ratings
    Company Website for LM-Kit.NET
  • TrustInSoft Analyzer Reviews & Ratings
    4.3 out of 5 stars 6 Ratings
    Company Website for TrustInSoft Analyzer
  • Dragonfly Reviews & Ratings
    4.9 out of 5 stars 16 Ratings
    Company Website for Dragonfly
  • Air Reviews & Ratings
    4.6 out of 5 stars 849 Ratings
    Company Website for Air
  • Buildium Reviews & Ratings
    4.5 out of 5 stars 2,562 Ratings
    Company Website for Buildium
  • Dialpad Support Reviews & Ratings
    4.3 out of 5 stars 1,607 Ratings
    Company Website for Dialpad Support
  • RetailEdge Reviews & Ratings
    4.8 out of 5 stars 201 Ratings
    Company Website for RetailEdge
  • Vehicle Acquisition Network (VAN) Reviews & Ratings
    5.0 out of 5 stars 54 Ratings
    Company Website for Vehicle Acquisition Network (VAN)
  • Gemini Enterprise Agent Platform Reviews & Ratings
    4.3 out of 5 stars 1,161 Ratings
    Company Website for Gemini Enterprise Agent Platform

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 MiniMax M1?

The MiniMax‑M1 model, created by MiniMax AI and available under the Apache 2.0 license, marks a remarkable leap forward in hybrid-attention reasoning architecture. It boasts an impressive ability to manage a context window of 1 million tokens and can produce outputs of up to 80,000 tokens, which allows for thorough examination of extended texts. Employing an advanced CISPO algorithm, the MiniMax‑M1 underwent an extensive reinforcement learning training process, utilizing 512 H800 GPUs over a span of about three weeks. This model establishes a new standard in performance across multiple disciplines, such as mathematics, programming, software development, tool utilization, and comprehension of lengthy contexts, frequently equaling or exceeding the capabilities of top-tier models currently available. Furthermore, users have the option to select between two different variants of the model, each featuring a thinking budget of either 40K or 80K tokens, while also finding the model's weights and deployment guidelines accessible on platforms such as GitHub and Hugging Face. Such diverse functionalities render MiniMax‑M1 an invaluable asset for both developers and researchers, enhancing their ability to tackle complex tasks effectively. Ultimately, this innovative model not only elevates the standards of AI-driven text analysis but also encourages further exploration and experimentation in the realm of artificial intelligence.

Media

Media

Integrations Supported

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

Integrations Supported

Hugging Face
Anuma
GitHub
SiliconFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

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

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

MiniMax

Date Founded

2021

Company Location

Singapore

Company Website

www.minimax.io/news/minimaxm1

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

Foundation Models

Not specified

Large Language Models

Not specified

Popular Alternatives

Popular Alternatives

MiniMax M3 Reviews & Ratings

MiniMax M3

MiniMax
5.0 out of 5 stars
MiniMax M3.1 Flash Reviews & Ratings

MiniMax M3.1 Flash

MiniMax
5.0 out of 5 stars
Phi-4-reasoning Reviews & Ratings

Phi-4-reasoning

Microsoft
Muse Glimmer Reviews & Ratings

Muse Glimmer

Meta
5.0 out of 5 stars
DeepSeek-V3.2 Reviews & Ratings

DeepSeek-V3.2

DeepSeek