Alibaba's Qwen-powered AI agent leads global benchmark
Alibaba's open-source Qwen AI model drives DeepSWE to top global performance rankings, outperforming rival systems
July 4, 2025 | 3:35 pm
An AI agent built on Alibaba Group's open-source Qwen artificial intelligence model has achieved global leadership in software engineering benchmarks, according to developers Agentica and Together AI.
Key Achievement
- DeepSWE framework scored 59% accuracy in the latest SWEBench-Verified test
- System built on Alibaba Cloud's Qwen3-32B large language model (LLM)
- Outperformed competing AI agent frameworks
"The success demonstrates Alibaba's growing influence in the global open-source AI community," industry observers noted.
Technical Breakthrough
The agentic framework represents a significant advancement in:
- Autonomous task execution
- Complex problem-solving
- Software engineering applications
Developers emphasized the benefits of Alibaba's open-source approach, which allows for:
- Community-driven improvements
- Faster debugging
- Customization for specialized use cases
What Makes Agentic Frameworks Special?
These advanced platforms enable AI systems to:
- Self-organize workflow tasks
- Dynamically allocate computational resources
- Solve multi-step problems without human intervention
Learn more about Alibaba Group
The benchmark results position Alibaba as a major contender in the race to develop practical, high-performance AI solutions for enterprise applications.
Related News
Zscaler CAIO on securing AI agents and blending rule-based with generative models
Claudionor Coelho Jr, Chief AI Officer at Zscaler, discusses AI's rapid evolution, cybersecurity challenges, and combining rule-based reasoning with generative models for enterprise transformation.
Human-AI collaboration boosts customer support satisfaction
AI enhances customer support when used as a tool for human agents, acting as a sixth sense or angel on the shoulder, according to Verizon Business study.
About the Author

Alex Thompson
AI Technology Editor
Senior technology editor specializing in AI and machine learning content creation for 8 years. Former technical editor at AI Magazine, now provides technical documentation and content strategy services for multiple AI companies. Excels at transforming complex AI technical concepts into accessible content.