Qwen Chat

Qwen Chat is a large language model chatbot developed by Alibaba Cloud, offering versatile conversational capabilities for various tasks, including text generation, translation, and question answering.

Text generation Translation Question answering Summarization Code generation Creative writing

Tool Information

Primary Task	Productivity
Category	operations-and-management
Sub Categories	generative-text creative-writing copywriting translation chatbots text-to-code
Launch Year	2023
Supported Languages	English, Chinese
Website Status	🟢 Active
Notice	Also Check qwen

Qwen Chat, a product of Alibaba Cloud, is a powerful large language model (LLM) designed to provide a seamless and intelligent conversational experience. It excels at a wide range of tasks, including generating creative text formats (poems, code, scripts, musical pieces, email, letters, etc.), translating languages, answering your questions in an informative way, even if they are open ended, challenging, or strange, and summarizing factual topics or creating stories. Its capabilities extend to providing detailed explanations and reasoning behind its responses, enhancing user understanding and trust. The model is trained on a massive dataset, enabling it to understand and respond to a broad spectrum of prompts and queries with remarkable accuracy and fluency. Qwen Chat's user-friendly interface makes it accessible to a wide audience, from students and professionals seeking assistance with writing and research to businesses looking to automate customer service interactions or enhance content creation workflows. Its ability to adapt to different conversational styles and maintain context throughout extended dialogues sets it apart. While specific details on the training data and architecture remain undisclosed, its performance suggests a sophisticated underlying model. The target audience includes anyone needing assistance with text-based tasks, ranging from casual users to developers integrating it into applications. Qwen Chat's unique selling points include its fluency, accuracy, and ability to handle complex requests. It works by processing user input, leveraging its vast knowledge base to generate a relevant and coherent response, and then presenting this response in a clear and concise manner. The model continuously learns and improves through ongoing updates and refinements.

Pros
Versatile capabilities User-friendly interface Accurate and fluent responses Handles complex requests

Cons
Limited information on training data and architecture Lack of detailed pricing information No API access currently available

AI Models

Qwen/CodeQwen1.5-7B Text Generation 7B

Qwen/CodeQwen1.5-7B-Chat Text Generation 7B

Qwen/CodeQwen1.5-7B-Chat-GGUF Text Generation 7B

Qwen/QVQ-72B-Preview Image-Text-to-Text 73B

Qwen/Qwen-1_8B-Chat Text Generation 2B

Qwen/Qwen-14B Text Generation 14B

Qwen/Qwen-14B-Chat Text Generation 14B

Qwen/Qwen-14B-Chat-Int4 Text Generation 3B

Qwen/Qwen-72B Text Generation 72B

Qwen/Qwen-72B-Chat Text Generation 72B

Qwen/Qwen-7B Text Generation 8B

Qwen/Qwen-7B-Chat Text Generation 8B

Qwen/Qwen-Audio Text Generation 8B

Qwen/Qwen-Audio-Chat Text Generation 8B

Qwen/Qwen-Image Text-to-Image

Qwen/Qwen-Image-Edit Image-to-Image

Qwen/Qwen-Image-Edit-2509 Image-to-Image

Qwen/Qwen-VL Text Generation

Qwen/Qwen-VL-Chat Text Generation

Qwen/Qwen-VL-Chat-Int4 Text Generation 4B

Qwen/Qwen1.5-0.5B Text Generation 0.6B

Qwen/Qwen1.5-0.5B-Chat Text Generation 0.6B

Qwen/Qwen1.5-1.8B-Chat Text Generation 2B

Qwen/Qwen1.5-110B Text Generation 111B

Qwen/Qwen1.5-110B-Chat Text Generation 111B

Qwen/Qwen1.5-110B-Chat-GPTQ-Int4 Text Generation 17B

Qwen/Qwen1.5-14B Text Generation 14B

Qwen/Qwen1.5-14B-Chat Text Generation 14B

Qwen/Qwen1.5-32B-Chat Text Generation 33B

Qwen/Qwen1.5-4B-Chat Text Generation 4B

Qwen/Qwen1.5-72B-Chat Text Generation 72B

Qwen/Qwen1.5-7B Text Generation 8B

Qwen/Qwen1.5-7B-Chat Text Generation 8B

Qwen/Qwen1.5-MoE-A2.7B Text Generation 14B

Qwen/Qwen1.5-MoE-A2.7B-Chat Text Generation 14B

Qwen/Qwen2-0.5B Text Generation 0.5B

Qwen/Qwen2-0.5B-Instruct Text Generation 0.5B

Qwen/Qwen2-1.5B Text Generation 2B

Qwen/Qwen2-1.5B-Instruct Text Generation 2B

Qwen/Qwen2-1.5B-Instruct-GGUF Text Generation 2B

Qwen/Qwen2-1.5B-Instruct-GPTQ-Int4 Text Generation 0.6B

Qwen/Qwen2-72B Text Generation 73B

Qwen/Qwen2-72B-Instruct Text Generation 73B

Qwen/Qwen2-72B-Instruct-GPTQ-Int4 Text Generation 12B

Qwen/Qwen2-7B Text Generation 8B

Qwen/Qwen2-7B-Instruct Text Generation 8B

Qwen/Qwen2-7B-Instruct-AWQ Text Generation 2B

Qwen/Qwen2-7B-Instruct-GGUF Text Generation 8B

Qwen/Qwen2-Audio-7B Audio-Text-to-Text 8B

Qwen/Qwen2-Audio-7B-Instruct Audio-Text-to-Text 8B

Qwen/Qwen2-Math-72B-Instruct Text Generation 73B

Qwen/Qwen2-VL-2B Image-Text-to-Text 2B

Qwen/Qwen2-VL-2B-Instruct Image-Text-to-Text 2B

Qwen/Qwen2-VL-2B-Instruct-GPTQ-Int4 Image-Text-to-Text 1B

Qwen/Qwen2-VL-72B-Instruct Image-Text-to-Text 73B

Qwen/Qwen2-VL-7B Image-Text-to-Text 8B

Qwen/Qwen2-VL-7B-Instruct Image-Text-to-Text 8B

Qwen/Qwen2-VL-7B-Instruct-GPTQ-Int4 Image-Text-to-Text 3B

Qwen/Qwen2.5-0.5B Text Generation 0.5B

Qwen/Qwen2.5-0.5B-Instruct Text Generation 0.5B

Qwen/Qwen2.5-0.5B-Instruct-GGUF Text Generation 0.6B

Qwen/Qwen2.5-1.5B Text Generation 2B

Qwen/Qwen2.5-1.5B-Instruct Text Generation 2B

Qwen/Qwen2.5-1.5B-Instruct-AWQ Text Generation 0.6B

Qwen/Qwen2.5-1.5B-Instruct-GGUF Text Generation 2B

Qwen/Qwen2.5-1.5B-Instruct-GPTQ-Int4 Text Generation 0.4B

Qwen/Qwen2.5-14B Text Generation 15B

Qwen/Qwen2.5-14B-Instruct Text Generation 15B

Qwen/Qwen2.5-14B-Instruct-1M Text Generation 15B

Qwen/Qwen2.5-14B-Instruct-AWQ Text Generation 3B

Qwen/Qwen2.5-32B Text Generation 33B

Qwen/Qwen2.5-32B-Instruct Text Generation 33B

Qwen/Qwen2.5-32B-Instruct-AWQ Text Generation 6B

Qwen/Qwen2.5-32B-Instruct-GPTQ-Int4 Text Generation 6B

Qwen/Qwen2.5-32B-Instruct-GPTQ-Int8 Text Generation 10B

Qwen/Qwen2.5-3B Text Generation 3B

Qwen/Qwen2.5-3B-Instruct Text Generation 3B

Qwen/Qwen2.5-3B-Instruct-AWQ Text Generation 1.0B

Qwen/Qwen2.5-3B-Instruct-GGUF Text Generation 3B

Qwen/Qwen2.5-72B Text Generation 73B

Qwen/Qwen2.5-72B-Instruct Text Generation 73B

Qwen/Qwen2.5-72B-Instruct-AWQ Text Generation 12B

Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4 Text Generation 12B

Qwen/Qwen2.5-7B Text Generation 8B

Qwen/Qwen2.5-7B-Instruct Text Generation 8B

Qwen/Qwen2.5-7B-Instruct-1M Text Generation 8B

Qwen/Qwen2.5-7B-Instruct-AWQ Text Generation 2B

Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4 Text Generation 2B

Qwen/Qwen2.5-Coder-1.5B Text Generation 2B

Qwen/Qwen2.5-Coder-1.5B-Instruct Text Generation 2B

Qwen/Qwen2.5-Coder-14B-Instruct Text Generation 15B

Qwen/Qwen2.5-Coder-14B-Instruct-AWQ Text Generation 3B

Qwen/Qwen2.5-Coder-14B-Instruct-GPTQ-Int4 Text Generation 3B

Qwen/Qwen2.5-Coder-32B Text Generation 33B

Qwen/Qwen2.5-Coder-32B-Instruct Text Generation 33B

Qwen/Qwen2.5-Coder-32B-Instruct-AWQ Text Generation 6B

Qwen/Qwen2.5-Coder-32B-Instruct-GGUF Text Generation 33B

Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int4 Text Generation 6B

Qwen/Qwen2.5-Coder-3B-Instruct Text Generation 3B

Qwen/Qwen2.5-Coder-7B Text Generation 8B

Qwen/Qwen2.5-Coder-7B-Instruct Text Generation 8B

Qwen/Qwen2.5-Coder-7B-Instruct-AWQ Text Generation 2B

Qwen/Qwen2.5-Coder-7B-Instruct-GGUF Text Generation 8B

Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4 Text Generation 2B

Qwen/Qwen2.5-Math-1.5B Text Generation 2B

Qwen/Qwen2.5-Math-1.5B-Instruct Text Generation 2B

Qwen/Qwen2.5-Math-7B Text Generation 8B

Qwen/Qwen2.5-Math-7B-Instruct Text Generation 8B

Qwen/Qwen2.5-Math-RM-72B Text Classification 73B

Qwen/Qwen2.5-Omni-3B Any-to-Any 6B

Qwen/Qwen2.5-Omni-7B Any-to-Any 11B

Qwen/Qwen2.5-VL-32B-Instruct Image-Text-to-Text 33B

Qwen/Qwen2.5-VL-32B-Instruct-AWQ Image-Text-to-Text 6B

Qwen/Qwen2.5-VL-3B-Instruct Image-Text-to-Text 4B

Qwen/Qwen2.5-VL-3B-Instruct-AWQ Image-Text-to-Text 1B

Qwen/Qwen2.5-VL-72B-Instruct Image-Text-to-Text 73B

Qwen/Qwen2.5-VL-72B-Instruct-AWQ Image-Text-to-Text 13B

Qwen/Qwen2.5-VL-7B-Instruct Image-Text-to-Text 8B

Qwen/Qwen2.5-VL-7B-Instruct-AWQ Image-Text-to-Text 3B

Qwen/Qwen3-0.6B Text Generation 0.8B

Qwen/Qwen3-0.6B-Base Text Generation 0.6B

Qwen/Qwen3-0.6B-FP8 Text Generation 0.8B

Qwen/Qwen3-1.7B Text Generation 2B

Qwen/Qwen3-1.7B-Base Text Generation 2B

Qwen/Qwen3-1.7B-GGUF Text Generation 2B

Qwen/Qwen3-14B Text Generation 15B

Qwen/Qwen3-14B-AWQ Text Generation 3B

Qwen/Qwen3-14B-Base Text Generation 15B

Qwen/Qwen3-235B-A22B Text Generation 235B

Qwen/Qwen3-235B-A22B-FP8 Text Generation 235B

Qwen/Qwen3-235B-A22B-GPTQ-Int4 Text Generation

Qwen/Qwen3-235B-A22B-Instruct-2507 Text Generation 235B

Qwen/Qwen3-235B-A22B-Instruct-2507-FP8 Text Generation 235B

Qwen/Qwen3-235B-A22B-Thinking-2507 Text Generation 235B

Qwen/Qwen3-30B-A3B Text Generation 31B

Qwen/Qwen3-30B-A3B-Base Text Generation 31B

Qwen/Qwen3-30B-A3B-FP8 Text Generation 31B

Qwen/Qwen3-30B-A3B-GPTQ-Int4 Text Generation 5B

Qwen/Qwen3-30B-A3B-Instruct-2507 Text Generation 31B

Qwen/Qwen3-30B-A3B-Instruct-2507-FP8 Text Generation 31B

Qwen/Qwen3-30B-A3B-Thinking-2507 Text Generation 31B

Qwen/Qwen3-30B-A3B-Thinking-2507-FP8 Text Generation 31B

Qwen/Qwen3-32B Text Generation 33B

Qwen/Qwen3-32B-AWQ Text Generation 6B

Qwen/Qwen3-32B-FP8 Text Generation 33B

Qwen/Qwen3-32B-GGUF Text Generation 33B

Qwen/Qwen3-4B Text Generation 4B

Qwen/Qwen3-4B-AWQ Text Generation 0.9B

Qwen/Qwen3-4B-Base Text Generation 4B

Qwen/Qwen3-4B-Instruct-2507 Text Generation 4B

Qwen/Qwen3-4B-Instruct-2507-FP8 Text Generation 4B

Qwen/Qwen3-4B-MLX-4bit Text Generation 0.6B

Qwen/Qwen3-4B-SafeRL Text Generation 4B

Qwen/Qwen3-4B-Thinking-2507 Text Generation 4B

Qwen/Qwen3-4B-Thinking-2507-FP8 Text Generation 4B

Qwen/Qwen3-8B Text Generation 8B

Qwen/Qwen3-8B-AWQ Text Generation 2B

Qwen/Qwen3-8B-Base Text Generation 8B

Qwen/Qwen3-8B-FP8 Text Generation 8B

Qwen/Qwen3-8B-GGUF Text Generation 8B

Qwen/Qwen3-Coder-30B-A3B-Instruct Text Generation 31B

Qwen/Qwen3-Coder-30B-A3B-Instruct-FP8 Text Generation 31B

Qwen/Qwen3-Coder-480B-A35B-Instruct Text Generation 480B

Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8 Text Generation 480B

Qwen/Qwen3-Embedding-0.6B Feature Extraction 0.6B

Qwen/Qwen3-Embedding-0.6B-GGUF 0.6B

Qwen/Qwen3-Embedding-4B Feature Extraction 4B

Qwen/Qwen3-Embedding-8B Feature Extraction 8B

Qwen/Qwen3-Next-80B-A3B-Instruct Text Generation 81B

Qwen/Qwen3-Next-80B-A3B-Instruct-FP8 Text Generation

Qwen/Qwen3-Next-80B-A3B-Thinking Text Generation 81B

Qwen/Qwen3-Next-80B-A3B-Thinking-FP8 Text Generation

Qwen/Qwen3-Omni-30B-A3B-Captioner Any-to-Any 32B

Qwen/Qwen3-Omni-30B-A3B-Instruct Any-to-Any 35B

Qwen/Qwen3-Omni-30B-A3B-Thinking Any-to-Any 32B

Qwen/Qwen3-Reranker-0.6B Text Ranking 0.6B

Qwen/Qwen3-Reranker-4B Text Ranking 4B

Qwen/Qwen3-Reranker-8B Text Ranking 8B

Qwen/Qwen3-VL-235B-A22B-Instruct Image-Text-to-Text 236B

Qwen/Qwen3-VL-235B-A22B-Instruct-FP8 Image-Text-to-Text 236B

Qwen/Qwen3-VL-235B-A22B-Thinking Image-Text-to-Text 236B

Qwen/Qwen3-VL-235B-A22B-Thinking-FP8 Image-Text-to-Text 236B

Qwen/Qwen3-VL-2B-Instruct-FP8 Image-Text-to-Text 2B

Qwen/Qwen3-VL-2B-Thinking-FP8 Image-Text-to-Text 2B

Qwen/Qwen3-VL-30B-A3B-Instruct Image-Text-to-Text 31B

Qwen/Qwen3-VL-30B-A3B-Instruct-FP8 Image-Text-to-Text 31B

Qwen/Qwen3-VL-30B-A3B-Thinking Image-Text-to-Text 31B

Qwen/Qwen3-VL-30B-A3B-Thinking-FP8 Image-Text-to-Text 31B

Qwen/Qwen3-VL-32B-Instruct Image-Text-to-Text 33B

Qwen/Qwen3-VL-32B-Instruct-FP8 Image-Text-to-Text 33B

Qwen/Qwen3-VL-32B-Thinking-FP8 Image-Text-to-Text 33B

Qwen/Qwen3-VL-4B-Instruct Image-Text-to-Text 4B

Qwen/Qwen3-VL-4B-Instruct-FP8 Image-Text-to-Text 5B

Qwen/Qwen3-VL-4B-Thinking-FP8 Image-Text-to-Text 5B

Qwen/Qwen3-VL-8B-Instruct Image-Text-to-Text 9B

Qwen/Qwen3-VL-8B-Instruct-FP8 Image-Text-to-Text 9B

Qwen/Qwen3-VL-8B-Thinking Image-Text-to-Text 9B

Qwen/Qwen3-VL-8B-Thinking-FP8 Image-Text-to-Text 9B

Qwen/Qwen3Guard-Gen-0.6B Text Generation 0.8B

Qwen/Qwen3Guard-Gen-8B Text Generation 8B

Qwen/Qwen3Guard-Stream-8B Feature Extraction 8B

Qwen/QwQ-32B Text Generation 33B

Qwen/QwQ-32B-AWQ Text Generation 6B

Qwen/QwQ-32B-GGUF Text Generation 33B

Qwen/QwQ-32B-Preview Text Generation 33B

Frequently Asked Questions

1. What is Qwen Chat and what is its primary purpose?

Qwen Chat is a large language model chatbot developed by Alibaba Cloud. Its primary purpose is to boost productivity by offering versatile conversational capabilities for various tasks.

2. What tasks can Qwen Chat perform?

Qwen Chat can handle text generation, translation, question answering, summarization, code generation, and creative writing tasks such as poems, scripts, and musical pieces.

3. Who is the target audience for Qwen Chat?

Qwen Chat targets anyone needing assistance with text-based tasks. This includes casual users, students, professionals needing help with writing and research, and businesses aiming to automate customer service or improve content creation.

4. What are the advantages of using Qwen Chat?

Qwen Chat offers versatile capabilities and a user-friendly interface. It provides accurate and fluent responses and effectively handles complex requests.

5. What are some limitations of Qwen Chat?

Limited information is available regarding its training data and architecture. Detailed pricing information and API access are not currently available.

6. What category does Qwen Chat belong to, and what is its primary task classification?

Qwen Chat is categorized as a specialized tool and its primary task is classified as productivity.