🚀 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/Qw
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/Qw
