Qwen

Qwen3-VL-Embedding

Qwen3-VL-Embedding is a series of models designed for high-precision multimodal retrieval and ranking. Built upon the Qwen3-VL foundation model, it processes diverse inputs—including text, images, screenshots, and videos—by mapping them into a unified representation space. This enables efficient similarity computation and retrieval across different modalities.

Qwen3.7-Plus v3.7-Plus

Qwen3.7-Plus is a multimodal agent model that unifies vision and language into a single, versatile agent foundation. Building on Qwen3.7's strong text backbone, Qwen3.7-Plus delivers a comprehensive upgrade in vision-language capabilities, enabling more sophisticated interactions and understanding across various modalities.

Qwen3-Coder-Next v1.0

Qwen3-Coder-Next is an open-weight language model developed by Qwen, specifically designed for coding agents and local development. It offers advanced agentic capabilities, including long-horizon reasoning and complex tool usage, making it highly effective for dynamic coding tasks.

Qwen3.8-27B v3.8

Qwen3.8-27B is a highly capable, open-weight multimodal model designed for advanced reasoning and agentic tasks. It features native vision and video understanding, a 256K context window, and a sophisticated thinking mechanism that can be adjusted for various performance needs.