Instructions to use inclusionAI/Ling-3.0-flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
- HuggingChat
- Notebooks
- Google Colab
- Kaggle
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<!-- Ling-3.0-flash architecture diagram -->
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## Evaluation
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We have conducted a comprehensive evaluation of Ling-3.0-flash across multiple authoritative benchmarks. **Ling-3.0-flash** performs strongly on representative code/agent benchmarks such as **SWE-Bench Pro, SWE-Bench Multilingual, Tau3-banking-AA**, **MCP-Atlas** and **SkillsBench, etc**. In practice, Ling-3.0-flash delivers a strong user experience across frameworks including **Claude Code**,**Kilo Code**,**Qwen Code**,**Hermes Agent**,and **OpenClaw**, etc. Beyond agentic tasks, Ling-3.0-flash also delivers strong performance across **general knowledge**,**mathematical reasoning**,**instruction following**,and **long-context understanding**.
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