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MiniMax-M2
MiniMax-M2 is a large-scale foundation model developed by MiniMaxAI. It has a massive scale of approximately 2.3 trillion parameters and is a chat-oriented model supporting a long context window of 205K.
Parameters
2300.0B
Context Window
205K
License
MIT
Release Date
2025-10-27
API Pricing
API pricing for this model is not yet available
Strengths
- ・Massive 2.3 trillion parameter count
- ・Long 205K context processing capacity
- ・Open use under MIT license
Weaknesses
- ・Extremely large model size of ~240GB
- ・Requires extremely high hardware performance
- ・Management costs due to open-source nature
Use Cases
- ・Building advanced conversational AI chatbots
- ・Analysis and summarization of ultra-long documents
- ・Building large-scale knowledge bases