The Scalable Hybrid-Attention AI Model
Discover how you can now access the powerful MiniMax-M1-80K on SiliconFlow for advanced reasoning, coding, and AI agent development.
MiniMax-M1-80K Now Available on SiliconFlow: The Scalable Hybrid-Attention AI Model
Published by MiniMax M1
Discover how you can now access the powerful MiniMax-M1-80K on SiliconFlow for advanced reasoning, coding, and AI agent development.
Overview
MiniMax-M1-80K (456B parameters), the world's first open-source hybrid-attention model at scale, is now live on SiliconFlow. With an impressive 128K context window, this model sets a new standard for developers building long-context LLM applications.
✅ Built for reasoning, coding, tool use, and intelligent agents
✅ Efficient, scalable, and open-weight
✅ Available now via https://www.minimaxm.com
Key Highlights
💡 128K Context Window Support
MiniMax-M1-80K can process up to 128,000 tokens in a single prompt, allowing it to understand and respond to long documents, multi-turn conversations, or structured knowledge with depth and accuracy.
💰 Competitive Pricing on SiliconFlow
- $0.58 per million input tokens
- $2.29 per million output tokens
This makes MiniMax-M1-80K one of the most cost-effective options for production-scale, high-performance LLM workloads.
🧠 Built for Reasoning at Scale
MiniMax M1 leverages two innovative components:
-
Mixture-of-Experts (MoE) Architecture
Activates only relevant subsets of the model’s 456B parameters per input, significantly reducing computational cost. -
Lightning Attention
A breakthrough attention mechanism designed for long sequences, delivering deep reasoning with minimal FLOPs — up to 75% savings compared to comparable models.
Together, these enable high-speed, low-latency reasoning across massive inputs without GPU overload.
Ideal For
MiniMax M1 on SiliconFlow is optimized for developers and enterprises building:
- 🔍 Autonomous AI Agents
- 📄 Document Analysis Tools
- 🧪 Scientific and Technical Research Assistants
- 🧑💻 Advanced Code Copilots & IDE Extensions
- 🤖 Tool-using AI Chains with reasoning memory
It excels in tasks that demand multi-step instruction following, symbolic reasoning, and structured output.
Performance Benchmarks
MiniMax-M1-80K performs competitively with top-tier models in:
- 🧮 Math problem solving
- 💻 Programming challenges
- 🧰 Tool-calling workflows
- 📘 Multi-document comparisons
Why Choose MiniMax M1?
MiniMax-M1-80K offers:
- ✅ Open-weight transparency
- ⚡ Efficient compute scaling
- 📚 Extreme long-context support
- 🛠️ Ready for multi-agent systems
- 🌐 API-ready for production deployments
Whether you're designing an agentic workflow, analyzing enterprise-scale documents, or building a next-gen search experience, MiniMax M1 has the capabilities you need.
Explore our documentation, sample use cases, and more at https://www.minimaxm.com.
Get Started
- 🔗 Try it live: SiliconFlow Playground
- 📖 Model Docs & Guides: https://www.minimaxm.com
- 🧠 Model Weights:
MiniMaxAI/MiniMax-M1-80k
(Hugging Face) - 💬 Chat with it: chat.minimax.io
MiniMax M1 on SiliconFlow — Your gateway to scalable, open, and intelligent long-context AI.
Now go build something extraordinary.