We'll continuously enhance the qwen code (cli tool) based on your feedback and even release improved qwen-coder (model)! Our goal is to match Claude Code's performance while remaining fully open-source!
💡 You get 2,000 free Qwen Code runs every day!
Run this one simple command:
npx @qwen-code/qwen-code@latest
Hit Enter, and that’s it!
🚀 Now with Qwen OAuth support — super easy to use.
Try it now and supercharge your vibe code! 💻⚡
Github:github.com/QwenLM/qwen-co…
We are proud to present our sincere open-source works: Qwen-72B and Qwen-1.8B! Including Base, Chat and Quantized versions!
🌟 Qwen-72B has been trained on high-quality data consisting of 3T tokens, boasting a larger parameter scale and more training data to achieve a
Today marks the Chinese New Year, and while fireworks light up the sky outside, here I am, sitting in front of my computer, writing this post. We've finally released Qwen2.5-Max, an MoE model on par with Deepseek-V3, now available on Qwen Chat and via API. That’s right—we’re
The burst of DeepSeek V3 has attracted attention from the whole AI community to large-scale MoE models. Concurrently, we have been building Qwen2.5-Max, a large MoE LLM pretrained on massive data and post-trained with curated SFT and RLHF recipes. It achieves competitive
🚀Now it is the time, Nov. 11 10:24! The perfect time for our best coder model ever! Qwen2.5-Coder-32B-Instruct!
Wait wait... it's more than a big coder! It is a family of coder models! Besides the 32B coder, we have coders of 0.5B / 1.5B / 3B / 7B / 14B! As usual, we not only
A hypothesis: gpt-oss is trained entirely on synthetic data, from pre-training to post-training. The approach enhances safety and helps smaller models achieve better performance.
We’ve released the SOTA open multimodal model, Qwen2.5-VL! It shows significant improvements across various aspects compared to the previous version. I’m thrilled to have made contributions to the Agent section of Qwen2.5-VL. The journey continues—see you tomorrow!