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Comprehensive side-by-side LLM comparison
Kimi K2.5 offers 63.5K more tokens in context window than MiniMax M2.1. MiniMax M2.1 is $6.20 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
Moonshot AI
Kimi K2.5, released by Moonshot AI in January 2026, is an updated Mixture-of-Experts large language model with 1 trillion total parameters and 32 billion active parameters. It builds on Kimi K2 with improved coding performance across multiple languages and an expanded context window. Kimi K2.5 targets agentic development workflows, polyglot code generation, and open-source deployments requiring large-scale MoE reasoning.
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.
9 days newer
MiniMax M2.1
MiniMax
2025-12-23
Kimi K2.5
Moonshot AI
2026-01
Cost per million tokens (USD)
Kimi K2.5
MiniMax M2.1
Context window and performance specifications
Available providers and their performance metrics
Kimi K2.5
Moonshot AI
MiniMax M2.1
MiniMax
Kimi K2.5
MiniMax M2.1
Kimi K2.5
MiniMax M2.1