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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.

What is GPT-4o mini?

A streamlined model that excels in both text comprehension and multimodal reasoning abilities. The GPT-4o mini has been crafted to efficiently manage a vast range of tasks, characterized by its affordability and quick response times, which make it particularly suitable for scenarios requiring the simultaneous execution of multiple model calls, such as activating various APIs at once, analyzing large sets of information like complete codebases or lengthy conversation histories, and delivering prompt, real-time text interactions for customer support chatbots. At present, the API for GPT-4o mini supports both textual and visual inputs, with future enhancements planned to incorporate support for text, images, videos, and audio. This model features an impressive context window of 128K tokens and can produce outputs of up to 16K tokens per request, all while maintaining a knowledge base that is updated to October 2023. Furthermore, the advanced tokenizer utilized in GPT-4o enhances its efficiency in handling non-English text, thus expanding its applicability across a wider range of uses. Consequently, the GPT-4o mini is recognized as an adaptable resource for developers and enterprises, making it a valuable asset in various technological endeavors. Its flexibility and efficiency position it as a leader in the evolving landscape of AI-driven solutions.

Media

Media

Integrations Supported

Anuma
Hugging Face

Integrations Supported

Bind AI
C
ChatGPT Plus
ChatGPT Pro
EaseMate AI
EasyCode
Elixir
F#
Fynix
Julia
Moemate
Ruby
SSSModel
Shiori
Sider
Tune Studio
WriteFastly
Zemith

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

MiniMax

Date Founded

2021

Company Location

Singapore

Company Website

www.minimax.io/news/minimaxm1

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

Foundation Models

Not specified

Large Language Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Tools

Not specified

AI Vision 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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