Comprehensive side-by-side LLM comparison
Kimi K2 Thinking offers 63.5K more tokens in context window than MiniMax M2.1. MiniMax M2.1 is $3.70 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
Moonshot AI
Kimi K2 Thinking, released by Moonshot AI on November 6, 2025, is a reasoning-focused variant of Kimi K2 with 1 trillion total parameters and 32 billion active parameters, featuring extended chain-of-thought processing for complex problem solving. It builds on K2's agentic coding strengths with additional capabilities for mathematical and scientific reasoning. Kimi K2 Thinking targets open-source deployments requiring deep, deliberate reasoning across coding and analytical domains.
MiniMax
MiniMax M2.1, released by MiniMax on December 23, 2025, is a large language model with approximately 230 billion parameters featuring strong multi-language programming capabilities and an industry-leading multilingual coding profile. It features a 196K token context window and is optimized for complex real-world software engineering tasks across Rust, Java, Golang, C++, TypeScript, and other languages. M2.1 targets agentic coding workflows and applications requiring production-grade programming across diverse language environments.
1 month newer
Kimi K2 Thinking
Moonshot AI
2025-11-06
MiniMax M2.1
MiniMax
2025-12-23
Cost per million tokens (USD)
Kimi K2 Thinking
MiniMax M2.1
Context window and performance specifications
Available providers and their performance metrics
Kimi K2 Thinking
Moonshot AI
MiniMax M2.1
MiniMax
Kimi K2 Thinking
MiniMax M2.1
Kimi K2 Thinking
MiniMax M2.1