Qwen 2.5

Qwen 2.5–72B is the top-capacity model in the Qwen 2.5 family, designed to deliver frontier-level quality while remaining flexible to deploy and customize. It’s a text-in/text-out, instruction-tuned model that handles difficult analysis, math, and software engineering with strong multilingual coverage. Long-context support lets it work across large repositories and multi-document workflows, and its native function calling and deterministic JSON formatting make it easy to drop into agent pipelines and retrieval-augmented apps. Teams typically serve it with modern runtimes (e.g., vLLM/SGLang/Transformers) and use 8-/4-bit quantization or tensor/pipeline parallelism to control latency and cost. If you want maximum quality from an open-weight Qwen model—and you have GPU headroom—72B is the flagship choice; step down to smaller 2.5 variants when you need faster, cheaper inference with similar interfaces.