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What is Phi-4-reasoning?

Phi-4-reasoning is a sophisticated transformer model that boasts 14 billion parameters, crafted specifically to address complex reasoning tasks such as mathematics, programming, algorithm design, and strategic decision-making. It achieves this through an extensive supervised fine-tuning process, utilizing curated "teachable" prompts and reasoning examples generated via o3-mini, which allows it to produce detailed reasoning sequences while optimizing computational efficiency during inference. By employing outcome-driven reinforcement learning techniques, Phi-4-reasoning is adept at generating longer reasoning pathways. Its performance is remarkable, exceeding that of much larger open-weight models like DeepSeek-R1-Distill-Llama-70B, and it closely rivals the more comprehensive DeepSeek-R1 model across a range of reasoning tasks. Engineered for environments with constrained computing resources or high latency, this model is refined with synthetic data sourced from DeepSeek-R1, ensuring it provides accurate and methodical solutions to problems. The efficiency with which this model processes intricate tasks makes it an indispensable asset in various computational applications, further enhancing its significance in the field. Its innovative design reflects an ongoing commitment to pushing the boundaries of artificial intelligence capabilities.

What is OpenAI o3-mini?

The o3-mini, developed by OpenAI, is a refined version of the advanced o3 AI model, providing powerful reasoning capabilities in a more compact and accessible design. It excels at breaking down complex instructions into manageable steps, making it especially proficient in areas such as coding, competitive programming, and solving mathematical and scientific problems. Despite its smaller size, this model retains the same high standards of accuracy and logical reasoning found in its larger counterpart, all while requiring fewer computational resources, which is a significant benefit in settings with limited capabilities. Additionally, o3-mini features built-in deliberative alignment, which fosters safe, ethical, and context-aware decision-making processes. Its adaptability renders it an essential tool for developers, researchers, and businesses aiming for an ideal balance of performance and efficiency in their endeavors. As the demand for AI-driven solutions continues to grow, the o3-mini stands out as a crucial asset in this rapidly evolving landscape, offering both innovation and practicality to its users.

Media

Media

No images available

Integrations Supported

Hugging Face
Microsoft Azure

Integrations Supported

Aider
ChatGPT
ChatGPT Pro
Cody
Duck.ai
Editee
GoCodeo
Gray Swan
GrimoAI
NinjaTools.ai
OpenAI
OpenAI deep research
Perplexity
Poe
Requesty
Shiori
T3 Chat
You.com

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac

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

OpenAI

Date Founded

2015

Company Location

United States

Company Website

openai.com

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 Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Small Language Models

Not specified

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