Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 4.2% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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.
Alibaba / Qwen
Qwen2.5-72B-Instruct is the flagship of Alibaba's Qwen2.5 series, a 72-billion-parameter open-weight model released in September 2024 after training on 18 trillion tokens spanning code, mathematics, and multilingual text. It offers strong generalist performance across coding, instruction-following, and structured reasoning while remaining fully open-weight under Apache 2.0 — a combination that made it a widely referenced model in open-source evaluations and community benchmarking. The 128K context window and built-in structured output support made it a common choice for document analysis and multi-step agentic pipeline development.
Launched on the same date
Qwen2.5 32B Instruct
Alibaba / Qwen
2024-09-19
Qwen2.5 72B Instruct
Alibaba / Qwen
2024-09-19
Average performance across 1 common benchmarks
Qwen2.5 32B Instruct
Qwen2.5 72B Instruct
Performance comparison across key benchmark categories
Qwen2.5 32B Instruct
Qwen2.5 72B Instruct
Available providers and their performance metrics
Qwen2.5 32B Instruct
Qwen2.5 72B Instruct
Qwen2.5 32B Instruct
Qwen2.5 72B Instruct