Qwen

Qwen is a large language model family developed by the Qwen team at Alibaba Cloud. First released in 2023, the series spans dense and mixture-of-experts architectures across text, vision, and code, with most models published under the Apache 2.0 license. Developers can access Qwen models through Alibaba Cloud's Model Studio (DashScope) using an OpenAI-compatible API, or download weights directly from Hugging Face and GitHub.

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Core Products

Qwen3 (Text LLMs)

Qwen3 is the flagship text model family, released in April 2025 under Apache 2.0. It includes dense models from 0.6B to 32B parameters and mixture-of-experts models up to 235B total parameters (22B active). All models support multilingual text generation, reasoning, tool use, and agentic workflows.

Qwen3-Coder

Qwen3-Coder is a coding-specialized model with 480B total parameters and 35B active, trained on 7.5 trillion tokens with a 70% code-focused dataset. Released in July 2025, it achieves state-of-the-art results among open models on SWE-Bench Verified.

Qwen3.6 (Vision-Language)

Qwen3.6 is a multimodal model with a unified vision-language architecture trained on trillions of multimodal tokens. It supports text and image inputs across 201 languages and dialects, with capabilities covering reasoning, coding, and visual understanding.

Qwen-Image-2.0

Qwen-Image-2.0 is a 7B-parameter image generation model supporting photorealism, professional typography, and unified generation-editing workflows, released in February 2026.

Qwen-MT

Qwen-MT is a translation model covering 92 major languages and dialects, reaching over 95% of the global population. It is designed for high-quality translation in production pipelines.

Qwen Code

Qwen Code is an open-source terminal coding agent optimized for the Qwen model series. It supports writing features, fixing bugs, navigating large codebases, and generating pull requests, with GitHub Actions integration available.

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Developer Resources

Qwen models are accessible through Alibaba Cloud Model Studio (DashScope) via an OpenAI-compatible API, or as open weights on Hugging Face. The API supports both text-only and multimodal models.

Helpful Links

• Qwen Documentation (model cards, quickstarts, and research notes)
• Alibaba Cloud Model Studio (API reference and DashScope SDK docs)
• GitHub (QwenLM) (open-source model weights, code, and tools)
• Hugging Face (Qwen) (download model weights and datasets)
• Qwen API Platform (get an API key and start building)
• Qwen Studio (web interface for chat, image understanding, and generation)

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Key Features

Open weights under Apache 2.0 Most Qwen3 models are released under Apache 2.0, allowing commercial use, fine-tuning, and redistribution without restrictions.

OpenAI-compatible API Qwen models are served through DashScope using the OpenAI-compatible endpoint format, making it straightforward to use Qwen models in existing OpenAI SDK integrations.

Multilingual coverage Qwen3.6 supports 201 languages and dialects. Qwen-MT covers 92 major languages for dedicated translation tasks.

Mixture-of-Experts (MoE) architecture The largest Qwen3 models use MoE, activating only a subset of total parameters per token (for example, 22B of 235B active). This reduces inference cost relative to comparably capable dense models.

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Use Cases

Agentic coding workflows Qwen3-Coder and Qwen Code are designed for software development tasks: writing features, fixing bugs, navigating large codebases, and generating pull requests via the terminal or CI pipelines.

Multilingual applications Qwen-MT and Qwen3.6's broad language support make them suitable for translation tools, multilingual chatbots, and localized content pipelines.

Multimodal document and image processing Qwen3.6 handles image understanding, document analysis, and visual reasoning alongside text, enabling applications like document Q&A and visual search.