Alibaba (Qwen) model releases

Dense 27B that punches far above its weight on agentic coding — easy to self-host on a single GPU node.

Native vision-language MoE supporting 201 languages with a 1M-token context.

Apache-licensed Qwen3-Next coding-agent model with 80B total / 3B active parameters, 256K context, and long-horizon tool-use training.

Largest open Qwen3 MoE, introducing hybrid thinking/non-thinking modes and 119-language coverage.

Local omni-modal Qwen model that supports text, image, audio, video, and speech generation in a 7B package.

Proprietary MoE flagship for the Qwen2.5 generation, released through Qwen Chat and Alibaba Cloud APIs.

Vision-language Qwen2.5 model for image, document, video, and agentic visual grounding tasks.

Qwen's first public reasoning-preview model, aimed at math, coding, and deliberate problem solving.

Code-specialized Qwen2.5 model family, with the 32B checkpoint as the flagship open coding model.

Broad Qwen2.5 foundation-model update spanning general, coding, math, and multimodal descendants.

Qwen2's largest dense model, introducing stronger multilingual support, coding/math gains, and long-context variants.

Largest Qwen1.5 model, released as the bridge from the original Qwen line to Qwen2.

Alibaba's first major open Qwen model and the start of a prolific open-weight line.

Second open Qwen size, expanding the first-generation Qwen language-model lineup.

Alibaba's first open Qwen checkpoint and the start of the Qwen open-model line.