> 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 delivers 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 Alibaba’s Tongyi Qianwen third-generation large model series released in April 2025 **an 8-billion-parameter dense model**, using **the Apache 2.0 open-source license**, and can be freely used for commercial and research scenarios.
* **Total parameters: 8 billion**
* **Architecture type: Dense (fully dense structure)**
* **Context length: 128K tokens**
* **Multilingual support: Covers 119 languages and dialects**
Although compact in size, Qwen3-8B performs reliably in reasoning, coding, math, and Agent capabilities, matching the performance of larger previous-generation models and demonstrating extremely high practical value in real-world applications.
***
**📚 Strong training foundation, a small model with great intelligence**
Qwen3-8B is based on **about 36 trillion tokens of high-quality multilingual data**for pre-training, 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**, specifically optimizing the following capabilities:
✅ Natural language understanding and generation\
✅ Mathematical reasoning and logical analysis\
✅ Multilingual translation and expression\
✅ Tool calling 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 inference mode: think or fast response?**
Qwen3-8B supports **“thinking mode” and “non-thinking mode”** switching flexibly, allowing users to choose the response style according to task complexity.
Control the mode through the following methods:
* **API parameter settings**:`enable_thinking=True/False`
* **Prompt instructions**: add `/think` or `/no_think`
| Mode | Applicable scenarios | 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 Agent capabilities, empowering intelligent applications**
Qwen3-8B has outstanding **Agent capabilities**, and can be easily integrated into various automation systems:
🔹 **Function Calling**: supports structured tool calls\
🔹 **MCP protocol compatibility**: natively supports the Model Context Protocol, making it easy to extend external capabilities\
🔹 **multi-tool collaboration**: can connect to plugins such as search, calculator, and code execution
Recommended to combine with **the Qwen-Agent framework** for quick building of intelligent assistants 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 others,
It is particularly strong in Chinese understanding, supporting Simplified Chinese, Traditional Chinese, and Cantonese expressions, making it suitable for the Hong Kong, Macao, Taiwan, and overseas Chinese markets.
***
**🧠 Strong practical capability, broad scenario coverage**
Qwen3-8B performs exceptionally well 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\
✅ **Intelligent assistant**: can build lightweight AI assistants for personal knowledge base Q\&A, schedule management, information extraction, and more
***
Right now, through **SiliconFlow** try Qwen3-8B for free and start your lightweight AI application journey!\\
📘 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) the official channels provided there.
---
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