Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 8.2% higher average benchmark score. Overall, Qwen2.5-Coder 32B Instruct is the stronger choice for coding tasks.
Alibaba / Qwen
Qwen2.5-14B-Instruct is a 14-billion-parameter language model from Alibaba released in September 2024 within the Qwen2.5 family, occupying the mid-tier of the series between efficiency-focused small models and the high-capability 72B flagship. Trained on 18 trillion tokens with emphasis on instruction alignment, code understanding, and multilingual reasoning, it offers a strong performance-to-compute ratio for developers who need more capability than 7B but cannot serve 32B or larger models. The model supports 128K context windows and structured output generation out of the box.
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 14B Instruct
Alibaba / Qwen
2024-09-19
Qwen2.5-Coder 32B Instruct
Alibaba / Qwen
2024-11-12
Average performance across 1 common benchmarks
Qwen2.5 14B Instruct
Qwen2.5-Coder 32B Instruct
Performance comparison across key benchmark categories
Qwen2.5 14B Instruct
Qwen2.5-Coder 32B Instruct
Available providers and their performance metrics
Qwen2.5 14B Instruct
Qwen2.5-Coder 32B Instruct
Qwen2.5 14B Instruct
Qwen2.5-Coder 32B Instruct