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What is OpenAI o3-mini-high?

The o3-mini-high model created by OpenAI significantly boosts the reasoning capabilities of artificial intelligence, particularly in deep problem-solving across diverse fields such as programming, mathematics, and complex tasks. It features adaptive thinking time and offers users the choice of different reasoning modes—low, medium, and high—to customize performance according to task difficulty. Notably, it outperforms the o1 series by an impressive 200 Elo points on Codeforces, demonstrating exceptional efficiency at a lower cost while maintaining speed and accuracy in its functions. As a distinguished addition to the o3 lineup, this model not only pushes the boundaries of AI problem-solving but also prioritizes user experience by providing a free tier and enhanced limits for Plus subscribers, which increases accessibility to advanced AI tools. Its innovative architecture makes it a vital resource for individuals aiming to address difficult challenges with greater support and flexibility, ultimately enriching the problem-solving landscape. Furthermore, the user-centric approach ensures that a wide range of users can benefit from its capabilities, making it a versatile solution for different needs.

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.

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Integrations Supported

C
C#
C++
Clojure
Go
Julia
Kotlin
OpenAI
OpenAI deep research
Python
Requesty
Ruby
Rust
SQL
Scala
TypeScript
Visual Basic
You.com

Integrations Supported

Anuma
Hugging Face

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

openai.com

Company Facts

Organization Name

MiniMax

Date Founded

2021

Company Location

Singapore

Company Website

www.minimax.io/news/minimaxm1

Categories and Features

AI Code Refactoring

Not specified

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

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

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