Released on Apr 29, 2025
Mixture-of-Experts model: 30B total params but only 3.3B active per token. Small-model speed with mid-size quality; the best speed/quality ratio in its class.
Flagship Max da 2,4 trilioni di parametri con ~95B attivi, contesto da 1M token e primo modello Max aperto dei pesi, oltre al Qwen3.8-27B Apache 2.0.
Flagship Qwen3.5-397B-A17B basata su MoE sparsa con attenzione lineare (Gated DeltaNet), multimodalità nativa e 201 lingue.
Modello MoE da 30,5B totali con 3B attivi, modalità thinking/non-thinking e contesto estendibile a 128K.
Visit the official site to download, learn more and start using Qwen3 30B-A3B (MoE).
7B open-weight model (32-layer DiT) that unifies text-to-image generation up to 2048x2048, editing with up to 10 reference images, and native RGBA transparency. Designed to run locally on 16GB+ VRAM; supported by diffusers and ComfyUI.
Ultra-compact 0.5B-parameter model. Runs on any hardware, even embedded: ideal for lightweight summarization and low-power local devices.
Clear step up in reasoning and instruction quality over 8B models. Excellent for coding, agents and structured writing on 16GB GPUs or Macs with 32GB RAM.
