MiniMax-M2.1

MiniMax-M2.1

MiniMax
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About

MiniMax-M2.1 is an open-source, agentic large language model designed for advanced coding, tool use, and long-horizon planning. It was released to the community to make high-performance AI agents more transparent, controllable, and accessible. The model is optimized for robustness in software engineering, instruction following, and complex multi-step workflows. MiniMax-M2.1 supports multilingual development and performs strongly across real-world coding scenarios. It is suitable for building autonomous applications that require reasoning, planning, and execution. The model weights are fully open, enabling local deployment and customization. MiniMax-M2.1 represents a major step toward democratizing top-tier agent capabilities.

About

Trinity Large Thinking is a frontier open source reasoning model developed by Arcee AI, designed specifically for complex, multi-step problem solving and autonomous agent workflows that require long-horizon planning and tool use. Built on a sparse Mixture-of-Experts architecture with roughly 400 billion total parameters but only about 13 billion active per token, the model achieves high efficiency while maintaining strong reasoning performance across tasks such as mathematical problem solving, code generation, and multi-step analysis. It introduces extended chain-of-thought reasoning capabilities, allowing the model to generate intermediate “thinking traces” before producing final answers, which improves accuracy and reliability in complex scenarios. Trinity Large Thinking supports a very large context window of up to 262K tokens, enabling it to process long documents, maintain state across extended interactions, and operate effectively in continuous agent loops.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

MiniMax-M2.1 is ideal for AI researchers, developers, and engineering teams building autonomous agents, coding assistants, and complex workflow automation systems

Audience

Developers and enterprises building autonomous AI agents that need a high-performance, open-source reasoning model for complex, multi-step workflows

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

MiniMax
Founded: 2021
Singapore
www.minimax.io

Company Information

Arcee AI
Founded: 2023
United States
www.arcee.ai/blog/trinity-large-thinking

Alternatives

Claude Opus 4.5

Claude Opus 4.5

Anthropic

Alternatives

Kimi K2 Thinking

Kimi K2 Thinking

Moonshot AI
Claude Opus 4.6

Claude Opus 4.6

Anthropic
GLM-5.1

GLM-5.1

Zhipu AI
MiniMax M2.5

MiniMax M2.5

MiniMax
MiniMax M2

MiniMax M2

MiniMax
GLM-4.5

GLM-4.5

Z.ai

Categories

Categories

Integrations

OpenClaw
BLACKBOX AI
Claude Code
Claude Opus 4.6
Cline
Factory
Fireworks AI
Kilo Code
OpenRouter
Roo Code
Shiori
Visual Studio Code

Integrations

OpenClaw
BLACKBOX AI
Claude Code
Claude Opus 4.6
Cline
Factory
Fireworks AI
Kilo Code
OpenRouter
Roo Code
Shiori
Visual Studio Code
Claim MiniMax-M2.1 and update features and information
Claim MiniMax-M2.1 and update features and information
Claim Trinity-Large-Thinking and update features and information
Claim Trinity-Large-Thinking and update features and information