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What is Phi-4-reasoning-plus?

Phi-4-reasoning-plus is an enhanced reasoning model that boasts 14 billion parameters, significantly improving upon the capabilities of the original Phi-4-reasoning. Utilizing reinforcement learning, it achieves greater inference efficiency by processing 1.5 times the number of tokens that its predecessor could manage, leading to enhanced accuracy in its outputs. Impressively, this model surpasses both OpenAI's o1-mini and DeepSeek-R1 on various benchmarks, tackling complex challenges in mathematical reasoning and high-level scientific questions. In a remarkable feat, it even outshines the much larger DeepSeek-R1, which contains 671 billion parameters, in the esteemed AIME 2025 assessment, a key qualifier for the USA Math Olympiad. Additionally, Phi-4-reasoning-plus is readily available on platforms such as Azure AI Foundry and HuggingFace, streamlining access for developers and researchers eager to utilize its advanced features. Its cutting-edge design not only showcases its capabilities but also establishes it as a formidable player in the competitive landscape of reasoning models. This positions Phi-4-reasoning-plus as a preferred choice for users seeking high-performance reasoning solutions.

What is MiniMax M3?

MiniMax M3 is an open-weight multimodal foundation model from MiniMax that brings together coding capability, agentic reasoning, native multimodality, and long-context processing in one model. It is designed for demanding AI workflows where a system needs to understand large amounts of information, reason through multi-step tasks, use tools, and work with different input types. MiniMax M3 supports a context window of up to 1 million tokens, making it useful for large code repositories, long documents, multi-file analysis, research workflows, enterprise automation, and persistent agent memory. The model uses MiniMax Sparse Attention, an architecture built to improve efficiency at very long context lengths by reducing the cost of attention. MiniMax M3 is natively multimodal and can work with text, images, and video inputs, allowing it to support richer workflows than text-only language models. It is positioned for coding, software engineering, tool invocation, browser-style retrieval, computer-use-style tasks, and autonomous task decomposition. The model’s architecture includes a large total parameter count with a smaller number of activated parameters, supporting more efficient inference through a mixture-of-experts design. Developers can use MiniMax M3 to build coding assistants, AI agents, document intelligence systems, multimodal analysis tools, and automated enterprise workflows. Its long-context design helps reduce the need to compress or split large inputs, allowing teams to keep more project context available during reasoning. The model is available through open-weight releases and hosted API providers, giving developers multiple ways to test, deploy, or integrate it into applications. MiniMax M3 helps organizations build advanced AI systems that combine long memory, multimodal understanding, coding strength, and agentic execution.

Media

Media

Integrations Supported

Hugging Face
Microsoft Foundry

Integrations Supported

APIFree
Alibaba AI Coding Plan
BLACKBOX AI
Claude Code
Clawd.run
Factory Droid
Fireworks AI
Kilo Code
MaxHermes
MiniMax Agent
MiniMax Code
MiniMax Mavis
Ollama
OpenClaw
Roo Code
Tabbit Browser
Together AI
Vision Agents

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0.30 per million input tokens
$0.30 per million input tokens and $1.20 per million output tokens
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

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/one-year-of-phi-small-language-models-making-big-leaps-in-ai/

Company Facts

Organization Name

MiniMax

Date Founded

2021

Company Location

Singapore

Company Website

www.minimax.io

Categories and Features

AI Models

Not specified

AI Reasoning Models

Not specified

Open-Weight AI Models

Not specified

Small Language Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Open-Weight AI Models

Not specified

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