Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
Zhipu AI
GLM-5 is a large language model from Zhipu AI with 745 billion total parameters and 44 billion active parameters per inference, designed for agentic intelligence, advanced reasoning, and frontier-level performance. It features a 200K token context window and targets complex multi-step tasks requiring sustained reasoning and tool use. GLM-5 is available via Zhipu AI's Z.ai platform under an MIT license.
Alibaba / Qwen
Qwen2.5-Coder-32B-Instruct is a 32-billion-parameter code-specialized model from Alibaba, released in November 2024 and trained on a large corpus spanning 92 programming languages including C, Python, Java, Rust, and domain-specific languages. The model was designed to provide competitive code generation, repair, and reasoning capabilities as an open-weight alternative for developers building code assistant tools and automated review pipelines. Its 128K context window enables whole-file and multi-file code comprehension, making it particularly suited for complex repository-level tasks.
1 year newer
Qwen2.5-Coder 32B Instruct
Alibaba / Qwen
2024-11-12
GLM 5
Zhipu AI
2026-02-11
Context window and performance specifications
Available providers and their performance metrics
GLM 5
Zhipu AI
Qwen2.5-Coder 32B Instruct
GLM 5
Qwen2.5-Coder 32B Instruct
GLM 5
Qwen2.5-Coder 32B Instruct