MiniMax-M2.1MiniMax
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Qwen3.5Alibaba
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Related Products
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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.
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About
Qwen3.5 is a next-generation open-weight multimodal large language model designed to power native vision-language agents. The flagship release, Qwen3.5-397B-A17B, combines a hybrid linear attention architecture with sparse mixture-of-experts, activating only 17 billion parameters per forward pass out of 397 billion total to maximize efficiency. It delivers strong benchmark performance across reasoning, coding, multilingual understanding, visual reasoning, and agent-based tasks. The model expands language support from 119 to 201 languages and dialects while introducing a 1M-token context window in its hosted version, Qwen3.5-Plus. Built for multimodal tasks, it processes text, images, and video with advanced spatial reasoning and tool integration. Qwen3.5 also incorporates scalable reinforcement learning environments to improve general agent capabilities. Designed for developers and enterprises, it enables efficient, tool-augmented, multimodal AI workflows.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
MiniMax-M2.1 is ideal for AI researchers, developers, and engineering teams building autonomous agents, coding assistants, and complex workflow automation systems
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Audience
AI researchers, enterprise developers, and organizations seeking an efficient open-weight multimodal foundation model for advanced reasoning, coding, and autonomous agent applications
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Open source
Free Version
Supported
Free Trial
Not Supported
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Pricing
Free
Open source
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationMiniMax
Founded: 2021
Singapore
www.minimax.io
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Company InformationAlibaba
Founded: 1999
China
qwen.ai
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Categories |
Categories |
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Integrations
Ollama
Supported
OpenClaw
Supported
APIFree
Not Supported
Alibaba Cloud Model Studio
Not Supported
BLACKBOX AI
Supported
BaseRT
Not Supported
Claude Code
Supported
Claw Code
Not Supported
Cline
Supported
Factory
Supported
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Integrations
Ollama
Supported
OpenClaw
Supported
APIFree
Supported
Alibaba Cloud Model Studio
Supported
BLACKBOX AI
Not Supported
BaseRT
Supported
Claude Code
Not Supported
Claw Code
Supported
Cline
Not Supported
Factory
Not Supported
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