Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 2.0% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
Alibaba / Qwen
Qwen2.5-72B-Instruct is the flagship of Alibaba's Qwen2.5 series, a 72-billion-parameter open-weight model released in September 2024 after training on 18 trillion tokens spanning code, mathematics, and multilingual text. It offers strong generalist performance across coding, instruction-following, and structured reasoning while remaining fully open-weight under Apache 2.0 — a combination that made it a widely referenced model in open-source evaluations and community benchmarking. The 128K context window and built-in structured output support made it a common choice for document analysis and multi-step agentic pipeline development.
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 month newer
Qwen2.5 72B Instruct
Alibaba / Qwen
2024-09-19
Qwen2.5-Coder 32B Instruct
Alibaba / Qwen
2024-11-12
Average performance across 1 common benchmarks
Qwen2.5 72B Instruct
Qwen2.5-Coder 32B Instruct
Performance comparison across key benchmark categories
Qwen2.5 72B Instruct
Qwen2.5-Coder 32B Instruct
Available providers and their performance metrics
Qwen2.5 72B Instruct
Qwen2.5-Coder 32B Instruct
Qwen2.5 72B Instruct
Qwen2.5-Coder 32B Instruct