Comprehensive side-by-side LLM comparison
Kimi K2 offers 60.1K more tokens in context window than GLM-4.7. GLM-4.7 is $2.10 cheaper per million tokens. 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.
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.
5 months newer
Kimi K2
Moonshot AI
2025-07-11
GLM-4.7
Zhipu AI
2025-12-22
Cost per million tokens (USD)
GLM-4.7
Kimi K2
Context window and performance specifications
Available providers and their performance metrics
GLM-4.7
Zhipu AI
Kimi K2
Moonshot AI
GLM-4.7
Kimi K2
GLM-4.7
Kimi K2