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Comprehensive side-by-side LLM comparison
Minimax M 2.5 offers 3.4K more tokens in context window than MiniMax M2.1. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
MiniMax
MiniMax M2.5 is a large language model from MiniMax extensively trained with reinforcement learning across hundreds of thousands of complex real-world environments. It targets agentic tool use, coding automation, and office productivity tasks, with strong results on software engineering and web browsing benchmarks. M2.5 represents the next generation of MiniMax's M-series models optimized for production agentic workloads.
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
MiniMax M2.1
MiniMax
2025-12-23
Minimax M 2.5
MiniMax
2026-02-13
Cost per million tokens (USD)
Minimax M 2.5
MiniMax M2.1
Context window and performance specifications
Available providers and their performance metrics
Minimax M 2.5
MiniMax
MiniMax M2.1
MiniMax
Minimax M 2.5
MiniMax M2.1
Minimax M 2.5
MiniMax M2.1