MiniMax M2.1
High-efficiency MoE model with 10B active parameters, optimized for agentic coding workflows and multilingual development.
MiniMax M2.1 is a state-of-the-art Mixture-of-Experts (MoE) Large Language Model designed to democratize high-end coding intelligence. With a total of 230 billion parameters but only 10 billion active during inference, it delivers frontier-class performance on standard hardware with exceptional latency. Specifically engineered for agentic workflows, it excels in handling complex, multi-step coding tasks across languages like Rust, C++, and Java, making it a powerful backend for IDEs and autonomous software agents.
Updated: 25/12/2025
$0.3
Per 1M Input Tokens
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✦•MiniMax M2.1 — Overview
MiniMax M2.1 is a state-of-the-art Mixture-of-Experts (MoE) Large Language Model designed to democratize high-end coding intelligence. With a total of 230 billion parameters but only 10 billion active during inference, it delivers frontier-class performance on standard hardware with exceptional latency. Specifically engineered for agentic workflows, it excels in handling complex, multi-step coding tasks across languages like Rust, C++, and Java, making it a powerful backend for IDEs and autonomous software agents.
Key Strengths
Performance Metrics
Usage Examples
Autonomous Coding Agent
Acts as a backend for tools like Cline or Claude Code to edit multi-file repositories autonomously.
Legacy Code Refactoring
Utilizes its large context window to analyze and refactor massive legacy codebases in languages like C++ or Objective-C.
Overall Rating
4.6
Based on 120 reviews
Growing Rapidly
Active Users
99.9%
Uptime
Community & Documentation
Support
Python, Java, C++, Rust, Go, TypeScript
Languages
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