Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 7B Instruct leads with 3.3% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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-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.
5 months newer
Qwen2 72B Instruct
Alibaba / Qwen
2024-06-07
Qwen2.5-Coder 7B Instruct
Alibaba / Qwen
2024-11-12
Average performance across 1 common benchmarks
Qwen2 72B Instruct
Qwen2.5-Coder 7B Instruct
Performance comparison across key benchmark categories
Qwen2 72B Instruct
Qwen2.5-Coder 7B Instruct
Available providers and their performance metrics
Qwen2 72B Instruct
Qwen2.5-Coder 7B Instruct
Qwen2 72B Instruct
Qwen2.5-Coder 7B Instruct