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Description

Beam represents Reflection’s inaugural open-weight model, characterized as a sparse Mixture-of-Experts framework featuring a staggering 501 billion parameters, of which 23 billion are actively utilized, specifically crafted for tasks involving coding, reasoning, and agentic functions. Its prowess is derived from extensive pretraining and reinforcement learning, having been developed using a vast dataset of 23.8 trillion diverse, high-quality tokens sourced from the web, public domains, and proprietary licensed materials. With a targeted emphasis on enhancing coding and agentic capabilities, Beam is engineered to provide competitive open-weight performance while ensuring efficient inference compute. This model adeptly handles a wide array of tasks, including intricate software engineering, terminal operations, STEM activities, web searches, tool utilization, and general knowledge inquiries. Reinforcement learning techniques have been employed to bolster its abilities in multi-step reasoning, tool application, and responsiveness to environmental feedback. Moreover, users have the flexibility to manage the balance between efficiency and performance through an adjustable reasoning effort parameter, thus tailoring the model's output to better suit their specific needs.

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.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

APIFree No 
Alibaba AI Coding Plan No 
BLACKBOX AI No 
Claude Code No 
Factory Droid No 
Fireworks AI No 
Hermes Agent No 
Kilo Code No 
MaxHermes No 
MiniMax Agent No 
MiniMax Code No 
Model Context Protocol (MCP) No 
Ollama No 
OpenClaw No 
OpenCode Go No 
Pi Agent No 
Roo Code No 
Tabbit Browser No 
Together AI No 
Vision Agents No 

Integrations

APIFree Yes 
Alibaba AI Coding Plan Yes 
BLACKBOX AI Yes 
Claude Code Yes 
Factory Droid Yes 
Fireworks AI Yes 
Hermes Agent Yes 
Kilo Code Yes 
MaxHermes Yes 
MiniMax Agent Yes 
MiniMax Code Yes 
Model Context Protocol (MCP) Yes 
Ollama Yes 
OpenClaw Yes 
OpenCode Go Yes 
Pi Agent Yes 
Roo Code Yes 
Tabbit Browser Yes 
Together AI Yes 
Vision Agents Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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 Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Reflection

Country

United States

Website

reflection.ai/blog/introducing-beam

Vendor Details

Company Name

MiniMax

Founded

2022

Country

China

Website

www.minimax.io/blog/minimax-m31f

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