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The Scalable Hybrid-Attention AI Model

QuickMedCert TeamJuly 1, 20253 min

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


MiniMax M1 on SiliconFlow — Your gateway to scalable, open, and intelligent long-context AI.

Now go build something extraordinary.