Материал на языке оригинала: English.
Hugging Face (Twitter)
RT @Alibaba_Qwen: 🚀 Qwen3.5-397B-A17B is here: The first open-weight model in the Qwen3.5 series. 🖼️Native multimodal. Trained for real-world agents. ✨Powered by hybrid linear attention + sparse MoE and large-scale RL environment scaling. ⚡8.6x–19.0x decoding throughput vs Qwen3-Max 🌍201 language
16 февраля 2026 г. · Источник: Hugging Face (KB)
Hugging Face (Twitter)
RT @Alibaba_Qwen: 🚀 Qwen3.5-397B-A17B is here: The first open-weight model in the Qwen3.5 series.
🖼️Native multimodal. Trained for real-world agents. ✨Powered by hybrid linear attention + sparse MoE and large-scale RL environment scaling. ⚡8.6x–19.0x decoding throughput vs Qwen3-Max 🌍201 languages & dialects 📜Apache2.0 licensed
🔗Dive in: GitHub: github.com/QwenLM/Qwen3.5 Chat: chat.qwen.ai API：https://modelstudio.console.alibabacloud.com/ap-southeast-1/?tab=doc#/doc/?type=model&url=2840914_2&modelId=group-qwen3.5-plus Qwen Code: github.com/QwenLM/qwen-code Hugging Face: https://huggingface.co/collections/Qwen/qwen35 ModelScope: https://modelscope.cn/collections/Qwen/Qwen35 blog: qwen.ai/blog?id=qwen3.5