MiniCPM4.1 is an enhanced iteration of the MiniCPM4 architecture, introducing improvements in reasoning capabilities, inference speed, and hybrid operation modes that allow dynamic switching between deep reasoning and standard generation. It builds upon the same efficiency-focused philosophy but further optimizes decoding performance, achieving substantial speed gains in reasoning-intensive tasks while maintaining high-quality outputs. One of its key innovations is the hybrid reasoning mode, which allows developers to control whether the model engages in deeper reasoning processes or faster responses depending on the use case. The model also supports both dense and sparse attention mechanisms, enabling more efficient computation depending on the selected inference framework. With improved pretraining on longer sequences and enhanced scaling techniques, MiniCPM4.1 delivers better performance in long-context tasks and complex problem solving.

Features

  • Hybrid reasoning mode with controllable deep thinking or fast responses
  • Enhanced decoding speed for reasoning-intensive workloads
  • Support for both dense and sparse attention inference modes
  • Integration with optimized inference engines like SGLang and CPM.cu
  • Improved long-context training with extended sequence handling
  • Speculative decoding support for accelerated generation

Project Samples

Project Activity

See All Activity >

Categories

AI Models

License

Apache License V2.0

Follow MiniCPM4.1

MiniCPM4.1 Web Site

Other Useful Business Software
$300 Free Credits to Build on Google Cloud Icon
$300 Free Credits to Build on Google Cloud

New customers can spin up VMs, build with AI, and query data at no cost.

Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of MiniCPM4.1!

Additional Project Details

Programming Language

Python

Related Categories

Python AI Models

Registered

2026-04-13