MiniMax M3.1 Flash
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Description
MiniMax M3.1 Flash is an advanced hosted language model designed specifically for developers who are creating coding assistants, AI agents, and various software applications. It can be accessed via MiniMax's API and MiniMax Code, allowing it to process inputs in text, image, and video formats while generating relevant text responses. Among its documented applications are functionalities such as code generation, debugging, complex reasoning tasks, tool utilization, analysis of codebases and documents, as well as enhancing computer workflows. The API boasts an impressive context window that can handle up to 1 million tokens, offers adjustable reasoning capabilities, and supports request formats that are compatible with both OpenAI and Anthropic standards. Charges for usage are based on the number of tokens used for input, output, and cached input. Comprehensive documentation is provided by MiniMax to assist with API integration and effective model utilization. M3.1 Flash is accessible through the hosted API, M Plan, and MiniMax Code, while there are plans to release model weights in the future, expanding its potential applications even further. This innovation represents a significant step forward in the integration of AI into software development processes.
Description
UberLLM serves as a centralized API marketplace and routing system, allowing developers to access various models for text, images, videos, music, and speech using a single API key. It supports request formats compatible with both OpenAI and Anthropic, enabling seamless integration for SDKs, coding agents, and applications by simply adjusting the API base URL and key. Users can browse a selection of models within the catalog, while UberLLM efficiently directs requests to external providers or sellers, tracking usage and costs through an intuitive dashboard. Sellers can propose different pricing for model capacity, and the routing process can take into account factors such as cost, speed of response, and availability, ensuring that users are only charged for successful requests. Payment is handled in advance, with charges specific to each model rather than through a subscription model. Developers are empowered to incorporate generative AI capabilities into their applications, allowing them to easily compare or switch between models and utilize endpoints for image, video, and audio generation or processing. Importantly, UberLLM does not store the underlying models; instead, it relies on providers to fulfill the requests, ensuring flexibility and a broad range of options for developers. This innovative approach helps streamline the integration of advanced AI technologies into various applications.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Claude Code
Yes
Cline
Yes
Model Context Protocol (MCP)
Yes
Alibaba AI Coding Plan
Yes
ClinePass
Yes
Hermes Agent
Yes
Kilo Code
Yes
LangChain
No
LibreChat
No
MaxHermes
Yes
Integrations
Claude Code
Yes
Cline
Yes
Model Context Protocol (MCP)
Yes
Alibaba AI Coding Plan
No
ClinePass
No
Hermes Agent
No
Kilo Code
No
LangChain
Yes
LibreChat
Yes
MaxHermes
No
Pricing Details
$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.
Free Trial
No
Free Version
No
Pricing Details
Pay as you go
Pay-as-you-go model charges are deducted from prepaid credits and vary by model and seller. There is no subscription or UberLLM fee on API requests. Card purchases of credits incur a 5.5% fee plus $0.50.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
MiniMax
Founded
2022
Country
China
Website
www.minimax.io/blog/minimax-m31f
Vendor Details
Company Name
AL Global LLC
Founded
2025
Country
United States
Website
uberllm.dev
Product Features
Product Features
Alternatives
Alternatives
No Alternatives