🚀 Qwen3.5-397B-A17B: Open-Weight, Multimodal, Agent-Ready Alibaba’s Qwen team just released the first open-weight model in the Qwen3.5 series built specifically for real-world AI agents. What stands out: • Native multimodal, text + image understanding out of the box • Hybrid linear attention + sparse MoE architecture • Large-scale RL environment scaling • 8.6x–19.0x faster decoding vs Qwen3-Max • Supports 201 languages & dialects • Apache 2.0 license Open weights + high throughput + permissive licensing = serious pressure on closed model providers. Dive in: • GitHub: https://github.com/QwenLM/Qwen3.5 • API: https://modelstudio.console.alibabacloud.com • Qwen Code: https://github.com/QwenLM/qwen-code • Hugging Face: https://huggingface.co/collections/Qwen The real question isn’t performance, it’s how quickly developers start shipping agents on top of it. @aipost 🏴