Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 6.2% higher average benchmark score. Overall, Qwen2.5 72B Instruct is the stronger choice for coding tasks.
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
Qwen2.5-72B-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 14B Instruct
Alibaba / Qwen
2024-09-19
Qwen2.5 72B Instruct
Alibaba / Qwen
2024-09-19
Average performance across 1 common benchmarks
Qwen2.5 14B Instruct
Qwen2.5 72B Instruct
Performance comparison across key benchmark categories
Qwen2.5 14B Instruct
Qwen2.5 72B Instruct
Available providers and their performance metrics
Qwen2.5 14B Instruct
Qwen2.5 72B Instruct
Qwen2.5 14B Instruct
Qwen2.5 72B Instruct