Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 6.2% higher average benchmark score. Overall, Qwen2.5-Coder 32B Instruct is the stronger choice for coding tasks.
Alibaba / Qwen
Qwen2.5-32B-Instruct is a 32-billion-parameter open-weight model from Alibaba's Qwen team, released in September 2024 as part of the Qwen2.5 series trained on 18 trillion tokens. The model is positioned as a high-capability option for developers with access to multi-GPU setups or high-VRAM hardware, offering strong performance on coding, structured reasoning, and multilingual tasks while remaining fully open under Apache 2.0. Its 128K context window and support for structured output generation made it a popular choice for document processing and agentic workflows in the open-source community.
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 32B Instruct
Alibaba / Qwen
2024-09-19
Qwen2.5-Coder 32B Instruct
Alibaba / Qwen
2024-11-12
Average performance across 1 common benchmarks
Qwen2.5 32B Instruct
Qwen2.5-Coder 32B Instruct
Performance comparison across key benchmark categories
Qwen2.5 32B Instruct
Qwen2.5-Coder 32B Instruct
Available providers and their performance metrics
Qwen2.5 32B Instruct
Qwen2.5-Coder 32B Instruct
Qwen2.5 32B Instruct
Qwen2.5-Coder 32B Instruct