Qwen Chat
Execute complex coding tasks, achieve superior performance, and seamlessly integrate AI workflows.
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Qwen Chat
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Qwen Chat by Alibaba is an advanced AI chatbot designed for developers, researchers, and tech enthusiasts, offering capabilities like coding assistance, document processing, image generation, and web search integration. Supporting 119 languages and large context lengths, it excels in complex reasoning and tool interactions through its hybrid thinking mode. Accessible via a mobile app and platforms like Hugging Face, Qwen Chat provides versatile deployment options and powerful performance for diverse computational tasks.

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Key features
Tailor response style with hybrid thinking mode
Support 119 languages and dialects easily
Run locally using Ollama, LM Studio, etc.
Toksta's take

Qwen Chat delivers standout coding performance, particularly with its 30B MoE model that often surpasses bigger names like GPT-4 on key coding benchmarks. The hybrid thinking mode is a real asset for tackling complex tasks, letting users balance speed with depth of reasoning. Its broad language support and agentic capabilities make it appealing for multilingual customer support, code review automation, and workflow integration in global organizations.

However, Qwen Chat’s exclusive focus on text limits use cases that require image or audio processing. The increased response time and compute cost in thinking mode are also worth noting. Despite some benchmark gaps and lack of multimodality, Qwen Chat’s open-source accessibility makes it a compelling choice for businesses needing scalable, high-performance AI with robust deployment options.

Qwen Chat
 Reddit Review
  7  threads analyzed    90  comments    Updated  Aug 07, 2025
Positive Sentiment

What Users Love

Common Concerns

  • Many users find Qwen Chat to be "really good," "great," and producing "best results" for general and professional work, often described as "surprisingly capable" and even "superior" to ChatGPT for certain tasks.
  • Responses are noted as "snappy" and "fast," and it handles context "way better than expected" while being "best at following instructions."
  • A significant positive is that Qwen is an "open weight" model that can be run "locally," seen as a "big deal" and a "game changer" for AI enthusiasts.
  • Several users state they use Qwen more frequently than other models, including paid ChatGPT and Claude, finding it requires "least rework" and "follow ups."
  • Its availability as a free model is highly appreciated, and the platform allows using "multiple models at the same time."
  • Several users express strong negative sentiment related to perceived Chinese government (CCP) censorship, fearing it might restrict discussions on certain topics or that "all chinese models are xi-censored."
  • One user noted Qwen hallucinated more than DeepSeek for a general knowledge query, and it's noted as "not their strength" for creative writing.
  • A 10000 character limit in the web UI is mentioned as "not usable" for some, and some local versions are described as "slow enough on my system to make it a bit of a pain."
  • Some comments criticize the UI/logo for being too similar to ChatGPT or "cringe," with one user noting it appears to be a "fork of OpenWebUI."
  • One user had a negative experience with a specific local model version (`q4_k_m version of Qwen 2.5 Coder 32B`) for coding, stating it "didn't work well at all."

Qwen Chat

Pricing Analysis

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Growth tip

Fine-tune Qwen Chat's 30B MoE model on your proprietary code repository using the available tools like Llama.cpp or MLX for local deployment, allowing you to automate code reviews and identify potential bugs more efficiently, ultimately reducing development time and improving software quality.

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