Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 6.7% higher average benchmark score. Overall, Qwen2.5-Coder 32B Instruct is the stronger choice for coding tasks.
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.
Alibaba / Qwen
Qwen2.5-Coder-7B-Instruct is a 7-billion-parameter code-specialized model from Alibaba, released in November 2024 as part of the Qwen2.5-Coder family, trained on a curated corpus spanning 92 programming languages with emphasis on code generation, debugging, and fill-in-the-middle completion. Built on the Qwen2.5 architecture, it extends the base series' improvements in instruction-following and long-context handling to coding-specific tasks within a compact deployable footprint. It became popular for integration into IDE extensions, CI pipelines, and self-hosted code assistant tools.
Launched on the same date
Qwen2.5-Coder 32B Instruct
Alibaba / Qwen
2024-11-12
Qwen2.5-Coder 7B Instruct
Alibaba / Qwen
2024-11-12
Average performance across 1 common benchmarks
Qwen2.5-Coder 32B Instruct
Qwen2.5-Coder 7B Instruct
Performance comparison across key benchmark categories
Qwen2.5-Coder 32B Instruct
Qwen2.5-Coder 7B Instruct
Available providers and their performance metrics
Qwen2.5-Coder 32B Instruct
Qwen2.5-Coder 7B Instruct
Qwen2.5-Coder 32B Instruct
Qwen2.5-Coder 7B Instruct