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Comprehensive side-by-side LLM comparison
Kimi K2.5 leads with 3.1% higher average benchmark score. Kimi K2.5 offers 60.1K more tokens in context window than GLM-4.7. GLM-4.7 is $6.50 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 K2.5, released by Moonshot AI in January 2026, is an updated Mixture-of-Experts large language model with 1 trillion total parameters and 32 billion active parameters. It builds on Kimi K2 with improved coding performance across multiple languages and an expanded context window. Kimi K2.5 targets agentic development workflows, polyglot code generation, and open-source deployments requiring large-scale MoE reasoning.
10 days newer
GLM-4.7
Zhipu AI
2025-12-22
Kimi K2.5
Moonshot AI
2026-01
Cost per million tokens (USD)
GLM-4.7
Kimi K2.5
Context window and performance specifications
Average performance across 3 common benchmarks
GLM-4.7
Kimi K2.5
Performance comparison across key benchmark categories
GLM-4.7
Kimi K2.5
Available providers and their performance metrics
GLM-4.7
Zhipu AI
Kimi K2.5
Moonshot AI
GLM-4.7
Kimi K2.5
GLM-4.7
Kimi K2.5