The long-awaited update to Qwen is finally here. It comes in various sizes from 0.8B to 27B (dense) and 35B-A3B to 397B-A17B (MoE), some of them even with base models. All of them are multi-modal, use reasoning by default and are based on the Qwen-Next architecture with GDN layers.
We tested these models over the last few days, and they are a clear upgrade over the previous version: There are a lot of substantial improvements across the board, making them perfect workhorses for a wide range of tasks.
Their style and instruction-following have improved, and the models are even better at multilingual tasks, covering more languages.
However, at least the small models (still) tend to overthink. You can turn off reasoning by disabling it in the chat template.
Relative Adoption Metric contextualizes downloads against the model's size bucket.
OpenRouter publishes daily token totals for its ~50 most-served models. Days missing from the chart mean Qwen3.5-397B-A17B fell below that cutoff — not zero usage. OpenRouter logs usage separately per dated model version and per variant (like ":free"); the hub combines provider variants while keeping separately cataloged releases distinct.
