Qwen/Qwen3-Coder-Next

Qwen3-Coder-Next is an open-weight MoE language model designed specifically for coding agents. With only 3B activated parameters out of 79.7B total, it achieves performance comparable to models with 10–20x more active parameters. It features a hybrid Gated Attention + Gated DeltaNet MoE architecture with 512 experts (10 active per token), 262K native context, and achieves 74.2% on SWE-Bench Verified — making it highly cost-effective for production agent deployment.