Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 7B Instruct leads with 1.5% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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-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.
1 month newer
Qwen2.5 14B Instruct
Alibaba / Qwen
2024-09-19
Qwen2.5-Coder 7B Instruct
Alibaba / Qwen
2024-11-12
Average performance across 1 common benchmarks
Qwen2.5 14B Instruct
Qwen2.5-Coder 7B Instruct
Performance comparison across key benchmark categories
Qwen2.5 14B Instruct
Qwen2.5-Coder 7B Instruct
Available providers and their performance metrics
Qwen2.5 14B Instruct
Qwen2.5-Coder 7B Instruct
Qwen2.5 14B Instruct
Qwen2.5-Coder 7B Instruct