MiniMax-AI/MiniMax-M1
World’s first open-weight hybrid-attention reasoning model with 1M token context and 456B parameters
View on index · View in 3D Map
Related repos
- open-source language and vision models with huge context window and hybrid attention
- Mixture-of-experts model for coding and agentic workflows
- Model with sparse attention for long-context scenarios
- JavaScript tools for AI image, video, and speech with MiniMax MCP
- DeepSeek-V3, a Mixture-of-Experts language model with 671B parameters and 37B active per token, focused on math and coding tasks
- compact multilingual AI model with long context and dual reasoning modes
- Reinforcement learning tuning for reasoning LLM agents
- open datasets and models for training reasoning AI
- suite of AI libraries, tools, and deployment workflows for building AI applications
- AI model for solving complex reasoning tasks with efficient architecture
