Qwen3-Coder: The Most Agentic Coding Model with 480B Parameters!

Key Takeaways

The most agentic coding model to date is here. Alibaba just launched quen 3 coder 480b a35b instruct with 480 billion parameters and stunning 256k native context length scaling up to 1 million tokens. It outperforms other opensource models in agentic coding browser use and tool use setting a new benchmark. In pre-training, quenth coder is fueled by 7.5 trillion tokens with a 70% code ratio ensuring exceptional performance in coding while maintaining general and mathematical progress. It optimized for large scale task supporting dynamic data like pull requests. But what sets Quen 3 coder apart is the post-raining phase that utilizes reinforcement learning for real world coding task dynamically boosting execution success rates. Additionally, long horizon RL empowers the model to engage in multi-turn decision making and adapting and improving as it works through complex coding challenges. If you're serious about coding at the cutting edge, Quen 3 coder is a gamecher. Don't miss out and do share your observations in the comment section.