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Comprehensive side-by-side LLM comparison
Kimi K2 Thinking leads with 2.5% higher average benchmark score. Kimi K2 Thinking offers 60.1K more tokens in context window than GLM-4.7. GLM-4.7 is $4.00 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 Thinking, released by Moonshot AI on November 6, 2025, is a reasoning-focused variant of Kimi K2 with 1 trillion total parameters and 32 billion active parameters, featuring extended chain-of-thought processing for complex problem solving. It builds on K2's agentic coding strengths with additional capabilities for mathematical and scientific reasoning. Kimi K2 Thinking targets open-source deployments requiring deep, deliberate reasoning across coding and analytical domains.
1 month newer
Kimi K2 Thinking
Moonshot AI
2025-11-06
GLM-4.7
Zhipu AI
2025-12-22
Cost per million tokens (USD)
GLM-4.7
Kimi K2 Thinking
Context window and performance specifications
Average performance across 1 common benchmarks
GLM-4.7
Kimi K2 Thinking
Performance comparison across key benchmark categories
GLM-4.7
Kimi K2 Thinking
Available providers and their performance metrics
GLM-4.7
Zhipu AI
Kimi K2 Thinking
Moonshot AI
GLM-4.7
Kimi K2 Thinking
GLM-4.7
Kimi K2 Thinking