> For the complete documentation index, see [llms.txt](https://docs.cherryai.com.cn/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cherryai.com.cn/docs/en-us/pre-basic/providers/cherryai/free-qwen.md).
# Qwen3-8B
**The well-known MaaS service platform “SiliconFlow” is offering everyone free access to the Qwen3-8B model**. As a cost-effective member of the Tongyi Qianwen Qwen3 series, Qwen3-8B achieves powerful capabilities in a compact size, making it an ideal choice for intelligent applications and efficient development.
***
**🚀 What is Qwen3-8B?**
Qwen3-8B is one of the Tongyi Qianwen third-generation large model series released by Alibaba in April 2025 **an 8-billion-parameter dense model**, using **the Apache 2.0 open-source license**, free for commercial and research use.
* **Total parameters: 8 billion**
* **Architecture type: Dense (pure dense structure)**
* **Context length: 128K tokens**
* **Multilingual support: covers 119 languages and dialects**
Although compact in size, Qwen3-8B performs steadily in reasoning, code, math, and agent capabilities, matching the performance of larger models from the previous generation and showing extremely high practicality in real-world applications.
***
**📚 Strong training foundation, small model with big intelligence**
Qwen3-8B is based on **about 36 trillion tokens of high-quality multilingual data** for pretraining, covering web text, technical documents, code repositories, and synthetic data from specialized domains, with broad knowledge coverage.
In the subsequent training stage, it introduced **a four-stage reinforcement process**, specially optimizing the following capabilities:
✅ Natural language understanding and generation\
✅ Mathematical reasoning and logical analysis\
✅ Multilingual translation and expression\
✅ Tool use and task planning
Thanks to the comprehensive upgrade of the training system,**Qwen3-8B's real-world performance is close to or even surpasses Qwen2.5-14B**, achieving a significant leap in parameter efficiency.\\
***
**💡 Hybrid reasoning modes: think or fast response?**
Qwen3-8B supports **“thinking mode” and “non-thinking mode”** switching flexibly, allowing users to choose the response style based on task complexity.
Control the mode in the following ways:
* **API parameter setting**:`enable_thinking=True/False`
* **Prompt instruction**: add `/think` or `/no_think`
| Mode | Applicable scenario | Example |
| --------------------- | ------------------------------------------------ | --------------------------------------------------------------------------- |
| **Thinking mode** | Complex reasoning, math problems, planning tasks |
- Solve geometry problems - Write a complete project architecture
|
This design allows users to **freely trade off between response speed and reasoning depth**, improving the user experience.
***
**⚙️ Native support for Agent capabilities, empowering intelligent applications**
Qwen3-8B has outstanding **agentic capabilities**, and can be easily integrated into various automation systems:
🔹 **Function Calling**: supports structured tool invocation\
🔹 **MCP protocol compatibility**: natively supports the Model Context Protocol, making it easy to extend external capabilities\
🔹 **multi-tool coordination**: can integrate plugins such as search, calculators, and code execution
It is recommended to combine **the Qwen-Agent framework** for use, to quickly build an intelligent assistant with memory, planning, and execution capabilities.
***
**🌐 Broad language support, for global applications**
Qwen3-8B supports **119 languages and dialects**, including Chinese, English, Arabic, Spanish, Japanese, Korean, Indonesian, and more,
It is particularly strong in Chinese understanding, supporting Simplified Chinese, Traditional Chinese, and Cantonese expression, making it suitable for the Hong Kong, Macau, and Taiwan regions as well as overseas Chinese markets.
***
**🧠 Strong practical capabilities, broad scenario coverage**
Qwen3-8B performs excellently in multiple high-frequency application scenarios:
✅ **Code generation**: supports mainstream languages such as Python, JavaScript, and Java, and can generate runnable code according to requirements\
✅ **Mathematical reasoning**: performs stably on benchmarks such as GSM8K, suitable for educational applications\
✅ **Content creation**: writes emails, reports, and copy with clear structure and natural language\
✅ **Smart assistant**: can build lightweight AI assistants for personal knowledge base Q\&A, schedule management, information extraction, and more
***
Now through **SiliconFlow** experience Qwen3-8B for free and start your journey into lightweight AI applications!\\
📘 Use it now and make AI within reach!
***
### Get help and submit feedback
If you encounter any questions, bugs, or have suggestions for feature improvements during configuration or use, please refer to [Feedback and Suggestions](/docs/en-us/question-contact/suggestions.md) for the official channels provided.
---
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