MiniMax M3.1 Flash Reviews & Ratings

MiniMax M3.1 Flash

5.0 out of 5 stars

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

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Ratings and Reviews 1 Rating

Total 5 out of 5 stars
ease 5 out of 5 stars

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What is OpenAI o4-mini?

The o4-mini model, a refined version of the o3, was engineered to offer enhanced reasoning abilities and improved efficiency. Designed for tasks requiring intricate problem-solving, it stands out for its ability to handle complex challenges with precision. This model offers a streamlined alternative to the o3, delivering similar capabilities while being more resource-efficient. OpenAI's commitment to pushing the boundaries of AI technology is evident in the o4-mini’s performance, making it a valuable tool for a wide range of applications. As part of a broader strategy, the o4-mini serves as an important step in refining OpenAI's portfolio before the release of GPT-5. Its optimized design positions it as a go-to solution for users seeking faster, more intelligent AI models.

What is MiniMax M3.1 Flash?

The MiniMax M3.1 Flash is a sophisticated hosted language model tailored for developers engaged in creating coding assistants, AI agents, and a variety of software solutions. Accessible via the MiniMax API and MiniMax Code, it is capable of processing inputs in text, image, and video formats to produce relevant textual outputs. Its documented features include code generation, debugging, handling complex reasoning tasks, utilizing tools, analyzing codebases and documents, and optimizing computer workflows. The API is equipped with an extensive context window capable of accommodating up to 1 million tokens, provides flexible reasoning options, and supports request formats that are compatible with OpenAI and Anthropic standards. Usage is billed according to the number of tokens utilized for input, output, and cached input. MiniMax offers thorough documentation to facilitate API integration and ensure effective model use. The M3.1 Flash can be accessed through the hosted API, M Plan, and MiniMax Code, with future plans to release model weights, which will further broaden its utility in various applications. This development marks a remarkable advancement in the incorporation of AI technologies into the software development lifecycle, paving the way for enhanced innovation in the field. Additionally, the ongoing improvements to the platform promise to keep it at the forefront of AI-assisted development tools.

Media

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Media

Integrations Supported

Brokk
ChatGPT
ChatGPT Enterprise
Editee
Simtheory

Integrations Supported

APIFree
Alibaba AI Coding Plan
BLACKBOX AI
Clawd.run
Fireworks AI
Hermes Agent
Kilo Code
MiniMax Agent
MiniMax Code
MiniMax Mavis
Model Context Protocol (MCP)
OpenCode Go
OpenTag
Pi Agent
Roo Code

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0.15/1M input tokens
Input: $0.15 per 1 million tokens; output: $0.60 per 1 million tokens; cached input: $0.015 per 1 million tokens. Standard pay-as-you-go billing in USD, based on token usage.

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

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

2022

Company Location

China

Company Website

www.minimax.io/blog/minimax-m31f

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

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

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