Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 8.0% higher average benchmark score. Overall, Qwen2.5 72B Instruct is the stronger choice for coding tasks.
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
Qwen2.5-72B-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.
3 months newer
Qwen2 72B Instruct
Alibaba / Qwen
2024-06-07
Qwen2.5 72B Instruct
Alibaba / Qwen
2024-09-19
Average performance across 1 common benchmarks
Qwen2 72B Instruct
Qwen2.5 72B Instruct
Performance comparison across key benchmark categories
Qwen2 72B Instruct
Qwen2.5 72B Instruct
Available providers and their performance metrics
Qwen2 72B Instruct
Qwen2.5 72B Instruct
Qwen2 72B Instruct
Qwen2.5 72B Instruct