Qwen-7B
Qwen-7B established a continuously expanding Chinese open-model family for developers.
FAMILY / ALIBABA CLOUD
An open multilingual family spanning dense, MoE, and hybrid-reasoning models.
01 / LINEAGE MAP
02 / GENERATIONS
Qwen-7B established a continuously expanding Chinese open-model family for developers.
Qwen2 combined permissive Apache 2.0 licensing with strong multilingual capability, widening deployment options.
Qwen3 brought hybrid reasoning and efficient MoE together in an Apache 2.0 open-weight model.
An 80B-total, 3B-active architecture preview combining hybrid linear attention and ultra-sparse MoE.
A trillion-plus-parameter Qwen3 flagship for coding, agents, and million-token professional work.
The first Qwen3.5 flagship, extending the Qwen3-Next hybrid architecture into a native multimodal agent model.
The efficient Qwen3.6 MoE tier, using 3B active parameters for multimodal, coding, and tool tasks.
The 27B dense Qwen3.6 tier for local deployment and general multimodal agents.
It was the first open-weight Qwen Max-class release, bringing flagship-scale deployment into the open model line.
The 27B dense open Qwen3.8 model for local deployment, vision, coding, and tool use.
It introduced QSA, Gated Residual, and N-gram memory to reduce compute while advancing long-context agents.