MiniMax is an open-source AI project dedicated to making advanced artificial intelligence accessible to all. The organization develops large-scale language and vision models, including the groundbreaking MiniMax-M1, which features one of the longest context windows available and supports a wide range of reasoning, coding, and multimodal tasks. MiniMax offers tools and APIs for text, speech, image, and video generation, making it easy for developers, researchers, and enthusiasts to build powerful AI applications. Their commitment to open weights and transparency helps democratize AI technology and foster innovation in the global community.
Key Features:
-
Ultra-Long Context Window: MiniMax-M1 supports up to 1 million tokens, enabling deep understanding of long documents and conversations.
-
Hybrid-Attention Reasoning: Uses a unique mixture-of-experts (MoE) and lightning attention for efficient, scalable AI performance.
-
Multimodal Capabilities: Provides models for text, vision, speech, and even video generation, all accessible via open APIs.
-
Open-Source & Open-Weight: All major models and tools are released with open weights, allowing full community access and customization.
Use Cases:
-
Summarizing and analyzing extremely long documents or codebases.
-
Building chatbots, virtual assistants, or research tools with advanced reasoning and memory.
-
Creating applications for text-to-speech, image, and video generation.
Technical Specifications:
-
Model Size: MiniMax-Text-01 and MiniMax-M1 have up to 456 billion parameters, with 45.9 billion activated per token.
-
APIs & Integrations: Official support for text, vision, speech, and video APIs, plus JavaScript SDKs for easy integration.
-
Programming Languages: Core tools and models are implemented in Python, with additional support for TypeScript and HTML.
