Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 7B Instruct leads with 4.3% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
Alibaba / Qwen
Qwen2.5-7B-Instruct is a 7-billion-parameter open-weight language model from Alibaba's Qwen team, released in September 2024 as part of the Qwen2.5 series trained on 18 trillion tokens with improved code, math, and multilingual coverage. The model delivers significantly stronger instruction-following, structured output generation, and long-context handling compared to its predecessor, supporting 128K context windows in a compact form factor. It became widely adopted as a foundation for fine-tuning, RAG pipelines, and on-device deployment due to its balance of capability and efficiency.
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 7B Instruct
Alibaba / Qwen
2024-09-19
Qwen2.5-Coder 7B Instruct
Alibaba / Qwen
2024-11-12
Average performance across 1 common benchmarks
Qwen2.5 7B Instruct
Qwen2.5-Coder 7B Instruct
Performance comparison across key benchmark categories
Qwen2.5 7B Instruct
Qwen2.5-Coder 7B Instruct
Available providers and their performance metrics
Qwen2.5 7B Instruct
Qwen2.5-Coder 7B Instruct
Qwen2.5 7B Instruct
Qwen2.5-Coder 7B Instruct