Post #5846

⚡️Qwen3-Coder-Next: Alibaba’s open model built for coding agents, not just code Alibaba just dropped Qwen3-Coder-Next, an open-weight language model optimized for agentic coding and local dev workflows. What’s new • Agent-first training at scale: 800K+ verifiable coding tasks paired with executable environments • Efficiency over brute force: 80B total params, but only 3B active, delivering strong SWE-Bench Pro results • Plug-and-play with real tools: Works with OpenClaw, Qwen Code, Claude Code, Cline, browser use, and web dev stacks Open access: • Hugging Face: https://huggingface.co/collections/QwenLM/qwen3-coder-next • ModelScope: https://modelscope.cn/collections/QwenLM/Qwen3-Coder-Next Agent-centric benchmark results • SWE-Bench Verified: >70% with the SWE-Agent scaffold • Small active footprint, big output: Matches or beats several much larger open-source models across agent benchmarks Qwen3-Coder-Next isn’t chasing parameter count, it’s betting that agent training + executable environments are the real unlock for coding LMs. @aipost🏴