Comprehensive side-by-side LLM comparison
Qwen2.5 32B Instruct leads with 2.0% 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
Qwen2.5-32B-Instruct is a 32-billion-parameter open-weight model from Alibaba's Qwen team, released in September 2024 as part of the Qwen2.5 series trained on 18 trillion tokens. The model is positioned as a high-capability option for developers with access to multi-GPU setups or high-VRAM hardware, offering strong performance on coding, structured reasoning, and multilingual tasks while remaining fully open under Apache 2.0. Its 128K context window and support for structured output generation made it a popular choice for document processing and agentic workflows in the open-source community.
Launched on the same date
Qwen2.5 14B Instruct
Alibaba / Qwen
2024-09-19
Qwen2.5 32B Instruct
Alibaba / Qwen
2024-09-19
Average performance across 1 common benchmarks
Qwen2.5 14B Instruct
Qwen2.5 32B Instruct
Performance comparison across key benchmark categories
Qwen2.5 14B Instruct
Qwen2.5 32B Instruct
Available providers and their performance metrics
Qwen2.5 14B Instruct
Qwen2.5 32B Instruct
Qwen2.5 14B Instruct
Qwen2.5 32B Instruct