Qwen

Qwen is a family of large language and multimodal models developed by Alibaba Cloud.
It powers advanced AI capabilities for chat, content generation, and multimodal understanding.

Conversational AI text generation code generation translation summarization multimodal understanding image captioning question answering content creation

Tool Information

Primary Task	Chat
Category	communication-and-support
Sub Categories	chat-and-conversation generative-text copywriting text-to-code coding-assistants translation image-to-text
Pricing	Free and Paid (varies by deployment via Alibaba Cloud)

Qwen is the flagship AI model suite from Alibaba Cloud, designed to push the boundaries of large language and multimodal AI. It includes powerful LLMs for text-based reasoning and generation, as well as large multimodal models (LMMs) capable of interpreting and generating both text and images. Built with scalability, performance, and adaptability in mind, Qwen supports a wide range of use cases, from conversational agents and code generation to document analysis and creative tasks. By releasing models openly and iterating rapidly, Qwen aims to advance artificial general intelligence (AGI) research while enabling developers, researchers, and enterprises to build intelligent applications at scale.

Pros
Supports both language and multimodal tasks open model releases scalable for enterprise strong research backing multilingual capabilities

Cons
Some models require significant compute to run locally rapid updates may require frequent adaptation enterprise features tied to Alibaba Cloud ecosystem

AI Models

Qwen3-Coder-480B-A35B-Instruct Massive MoE code model (480B total / 35B active), supports 256K context natively.

Jul 2025
Active

Qwen3 (dense 0.6B–32B, sparse variants) Qwen-3 family with both dense and MoE variants under Apache 2.0, large context 128K.

Apr 2025
Active

Qwen2.5-Omni-7B Omni-modal model handling text, image, video, audio input/output.

Mar 2025
Active

Qwen2.5-VL-32B-Instruct Instruction-tuned 32B vision-language model successor to Qwen2.5-VL.

Mar 2025
Active

Qwen2.5-Max High-capability large model (API version qwen-max-2025-01-25); outperforms GPT-4o and DeepSeek-V3.

Jan 2025
Active

Qwen2.5-VL (3B/7B/32B/72B) Advanced vision-language models with enhanced structured document and video understanding.

Jan 2025
Active

Qwen2-VL (2B & 7B) Vision-language models combining vision transformers with LLMs.

Dec 2024
Active

QwQ-32B-Preview Reasoning-focused model with 32K context; outperforms OpenAI o1 in some benchmarks.

Nov 2024
Active

Qwen2 Second-generation models, dense and sparse variants.

Jun 2024
Active

Qwen-1.8B Base open-source model with 1.8B parameters and 32K context.

Nov 2023
Active

Qwen-72B Largest base open-source model with 72B parameters and 32K context.

Nov 2023
Active

Qwen-14B Base open-source model with 14B parameters (8K context).

Sep 2023
Active

Qwen-7B Base open-source model with 7B parameters and 32K context.

Aug 2023
Active

Qwen-Chat (1.8B,7B,14B,72B) Instruction-tuned chat variants of base models.

Active

Qwen-VL-Max Flagship vision-language model sold via Alibaba Cloud (pay-per-token).

Active

Qwen-Plus Balanced commercial model between Max and Turbo; supports “Thinking mode”.

Active

Qwen-Turbo Lightweight commercial model optimized for speed and low cost.

Active

Qwen-Coder Commercial model specialized for code generation, tool usage.

Active

Qwen-Audio Model capable of processing audio and text inputs to generate text.

Active

Qwen-Math Specialized model for mathematical reasoning tasks.

Active

QwQ-Long Long-context model variant (QwQ-Long).

Active

Frequently Asked Questions

1. What is Qwen?

Qwen is a family of large language and multimodal models developed by Alibaba Cloud. It's designed to push the boundaries of large language and multimodal AI, offering advanced capabilities for chat, content generation, and multimodal understanding.

2. What are the primary tasks Qwen can perform?

Qwen's primary task is chat, but it also excels at conversational AI, text generation, code generation, translation, summarization, multimodal understanding, image captioning, question answering, and content creation.

3. What types of tasks is Qwen suited for?

Qwen supports a wide range of use cases, including conversational agents, code generation, document analysis, and creative tasks. Its capabilities extend to both text-based and multimodal applications.

4. Who is Qwen designed for?

Qwen is designed for developers, researchers, and enterprises who need to build intelligent applications at scale. Its open model releases aim to benefit a broad range of users.

5. What are the advantages of using Qwen?

Qwen offers several advantages, including support for both language and multimodal tasks, open model releases for accessibility, scalability for enterprise use, strong research backing, and multilingual capabilities.

6. What are some limitations of Qwen?

Some Qwen models may require significant computing resources to run locally. Also, frequent updates may necessitate adaptation, and some enterprise features are tied to the Alibaba Cloud ecosystem.

7. What category does Qwen belong to?

Qwen falls under the business-operations category.