Comprehensive side-by-side LLM comparison
Kimi K2 offers 60.1K more tokens in context window than Minimax M 2.5. Minimax M 2.5 is $1.60 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 M2.5 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.
7 months newer
Kimi K2
Moonshot AI
2025-07-11
Minimax M 2.5
MiniMax
2026-02-13
Cost per million tokens (USD)
Kimi K2
Minimax M 2.5
Context window and performance specifications
Available providers and their performance metrics
Kimi K2
Moonshot AI
Minimax M 2.5
MiniMax
Kimi K2
Minimax M 2.5
Kimi K2
Minimax M 2.5