QWEN3.5: TOWARDS NATIVE MULTIMODAL AGENTS

Summary from the TLDR AI newsletter

Qwen3.5-397B-A17B is the first model in the Qwen3.5 series. The native vision-language model demonstrates outstanding results in reasoning, coding, agent capabilities, and multimodal understanding. It uses an innovative hybrid architecture that fuses linear attention with a sparse mixture-of-experts. While it contains 397 billion parameters, only 17 billion are activated per forward pass. The model supports 201 languages and dialects.