Qwen: Qwen3 Coder Next

Qwen3-Coder-Next, released by qwen on February 3, 2026, is an open-weight causal language model designed for coding agents and local development. With a sparse MoE design (80B total parameters, 3B activated per token), it achieves performance comparable to models with significantly higher active compute, making it suitable for cost-sensitive deployments. The model exhibits a native 256k context window and operates exclusively in non-thinking mode, simplifying integration. In terms of overall performance, Qwen3-Coder-Next tends to have longer response times, ranking in the 19th percentile across five benchmarks. However, it offers competitive pricing, placing in the 56th percentile. A significant strength is its exceptional reliability, demonstrating a 100% success rate across all benchmarks, indicating consistent and usable responses. Benchmark results highlight several key areas. The model shows strong performance in Ethics, achieving perfect accuracy and being noted as the most accurate model at its price point and among models of similar speed. It also performs well in General Knowledge (99.0% accuracy) and Hallucinations (94.0% accuracy), indicating a good grasp of factual information and an ability to acknowledge uncertainty. While its Instruction Following accuracy is moderate at 59.6%, its Email Classification accuracy is solid at 97.0%. The primary weakness lies in its speed, consistently ranking low in duration across most benchmarks.