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Comprehensive side-by-side LLM comparison
GLM-4.7 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.
Zhipu AI
GLM-4.7, released by Zhipu AI on December 22, 2025, is a large language model with approximately 400 billion parameters from the GLM-4 family, designed for deep mathematical reasoning, multi-file software engineering, and stable agentic orchestration. It features a 200K token context window and 128K maximum output tokens, supporting extended code and analysis generation. GLM-4.7 targets advanced open-source deployments under an MIT license via Zhipu AI's Z.ai platform.
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 days newer
GLM-4.7
Zhipu AI
2025-12-22
MiniMax M2.1
MiniMax
2025-12-23
Cost per million tokens (USD)
GLM-4.7
MiniMax M2.1
Context window and performance specifications
Available providers and their performance metrics
GLM-4.7
Zhipu AI
MiniMax M2.1
MiniMax
GLM-4.7
MiniMax M2.1
GLM-4.7
MiniMax M2.1