Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 10.0% higher average benchmark score. Overall, Qwen2.5-Coder 32B Instruct is the stronger choice for coding tasks.
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.
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.
5 months newer
Qwen2 72B Instruct
Alibaba / Qwen
2024-06-07
Qwen2.5-Coder 32B Instruct
Alibaba / Qwen
2024-11-12
Average performance across 1 common benchmarks
Qwen2 72B Instruct
Qwen2.5-Coder 32B Instruct
Performance comparison across key benchmark categories
Qwen2 72B Instruct
Qwen2.5-Coder 32B Instruct
Available providers and their performance metrics
Qwen2 72B Instruct
Qwen2.5-Coder 32B Instruct
Qwen2 72B Instruct
Qwen2.5-Coder 32B Instruct