Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 1 Rating

Total
ease
features

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 is a frontier open-weight AI model built for coding, agentic work, multimodal understanding, and ultra-long-context tasks. The model supports up to a 1 million token context window, allowing it to work across large codebases, long documents, logs, project histories, and complex task environments. MiniMax M3 introduces MiniMax Sparse Attention, a sparse attention architecture designed to make long-context processing more efficient. The model is natively multimodal, with training that supports deeper semantic fusion across text, image, and video inputs. It is designed to support software engineering tasks, repository analysis, terminal-style work, browser-style retrieval, tool use, and autonomous workflows. MiniMax M3 has a mixture-of-experts architecture with hundreds of billions of total parameters and a smaller activated parameter count for more efficient inference. Developers can use it for AI coding assistants, workflow automation, research agents, document analysis, visual reasoning, and enterprise AI systems. Its long-context capability makes it especially useful when tasks require many files, references, instructions, or interaction histories to stay available at once. MiniMax M3 helps teams build more capable AI agents that can understand larger problems, work across multiple modalities, and execute complex tasks with stronger context awareness.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

APIFree No 
Claude Code No 
Clawd.run No 
ClinePass No 
Factory Droid No 
Fireworks AI No 
Hermes Agent No 
Kilo Code No 
MiniMax Code No 
MiniMax Mavis No 
Ollama No 
OpenClaw No 
OpenCode Go No 
OpenCode Zen No 
OpenTag No 
Pi Agent No 
Roo Code No 
Tabbit Browser No 
Together AI No 
Vision Agents No 

Integrations

APIFree Yes 
Claude Code Yes 
Clawd.run Yes 
ClinePass Yes 
Factory Droid Yes 
Fireworks AI Yes 
Hermes Agent Yes 
Kilo Code Yes 
MiniMax Code Yes 
MiniMax Mavis Yes 
Ollama Yes 
OpenClaw Yes 
OpenCode Go Yes 
OpenCode Zen Yes 
OpenTag 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

$0.30 per million input tokens
$0.30 per million input tokens and $1.20 per million output tokens
Free Trial No 
Free Version Yes 

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 Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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 Yes 

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

2021

Country

Singapore

Website

www.minimax.io

Alternatives

Kimi K3 Reviews

Kimi K3

Moonshot AI

Alternatives

GLM-5.3 Reviews

GLM-5.3

Z.ai
Qwen3.8-Max Reviews

Qwen3.8-Max

Alibaba
MiniMax Reviews

MiniMax

MiniMax AI