Qwen2 Instruct 72B was Alibaba's 72-billion-parameter flagship in mid-2024, offering strong MMLU Pro performance (0.622) and reasonable scicode scores for its era. With no pricing, agentic, or instruction-following benchmark data available, its suitability for structured business workflows is difficult to assess precisely.

The model has been superseded by Qwen2.5 and Qwen3 family releases, which offer meaningfully better performance across reasoning, coding, and instruction-following. For businesses, it remains a viable self-hosted option for general content tasks if deployed on-premises, but it no longer represents a competitive API choice.

Without pricing data, cost-efficiency cannot be evaluated. Teams exploring open-weight Qwen models for self-hosting should consider the newer Qwen3 series, which offers substantially better benchmark performance at comparable or smaller parameter counts.

Assessed June 6, 2026

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?