Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 9.0% higher average benchmark score. Overall, Qwen2.5 72B Instruct is the stronger choice for coding tasks.
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.
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.
Launched on the same date
Qwen2.5 72B Instruct
Alibaba / Qwen
2024-09-19
Qwen2.5 7B Instruct
Alibaba / Qwen
2024-09-19
Average performance across 1 common benchmarks
Qwen2.5 72B Instruct
Qwen2.5 7B Instruct
Performance comparison across key benchmark categories
Qwen2.5 72B Instruct
Qwen2.5 7B Instruct
Available providers and their performance metrics
Qwen2.5 72B Instruct
Qwen2.5 7B Instruct
Qwen2.5 72B Instruct
Qwen2.5 7B Instruct