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Comprehensive side-by-side LLM comparison
Kimi K2 offers 63.5K more tokens in context window than MiniMax M2.1. MiniMax M2.1 is $1.80 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
Moonshot AI
Kimi K2, released by Moonshot AI on July 11, 2025, is an open-weight Mixture-of-Experts large language model with 1 trillion total parameters and 32 billion active parameters per inference. It features a 256K token context window (expanded from 128K in an September 2025 update) and demonstrated strong performance on agentic coding benchmarks. Kimi K2 targets software engineering agents, tool-use workflows, and open-source deployments under a modified MIT license.
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.
5 months newer
Kimi K2
Moonshot AI
2025-07-11
MiniMax M2.1
MiniMax
2025-12-23
Cost per million tokens (USD)
Kimi K2
MiniMax M2.1
Context window and performance specifications
Available providers and their performance metrics
Kimi K2
Moonshot AI
MiniMax M2.1
MiniMax
Kimi K2
MiniMax M2.1
Kimi K2
MiniMax M2.1