Comprehensive side-by-side LLM comparison
. 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.
Alibaba / Qwen
Qwen2-72B-Instruct is a 72-billion-parameter language model released by Alibaba's Qwen team in June 2024, serving as the flagship of the Qwen2 generation and representing a major step in open-weight multilingual modeling. Trained on data spanning 30+ languages with strong coverage of code and structured reasoning, the model was among the first openly released 70B-class models to demonstrate competitive performance across diverse benchmarks. It established the foundation architecture and training methodology that the Qwen2.5 series would later extend.
1 year newer
Qwen2 72B Instruct
Alibaba / Qwen
2024-06-07
GLM-4.7
Zhipu AI
2025-12-22
Context window and performance specifications
Available providers and their performance metrics
GLM-4.7
Zhipu AI
Qwen2 72B Instruct
GLM-4.7
Qwen2 72B Instruct
GLM-4.7
Qwen2 72B Instruct