🚀 Introducing Qwen3.6-Max-Preview, an early preview of our next flagship model Highlights: ⚡️ Improved agentic coding capability over Qwen3.6-Plus 📖 Stronger world knowledge and instruction following 🌍 Improved real-world agent and knowledge reliability performance Smarter, sharper, still evolving. More Qwen3.6 models to come. Stay tuned! 🔗👇 Blog: https://t.co/6hDQJhmkjM Qwen Studio: https://t.co/Fe2X1IrW6r API: https://t.co/xWPs39LBIm
Alibaba Qwen Launches Qwen3.6-Max-Preview With Enhanced Agentic Coding Reliability
· Updated
Qwen released an early preview of Qwen3.6-Max-Preview, its next flagship model designed for complex autonomous workflows. The update delivers a nearly 10-point jump in agentic coding benchmarks and introduces a feature to preserve reasoning traces across multi-turn interactions.
- SkillsBench gain
- +9.9 points
- SciCode gain
- +6.3 points
- NL2Repo gain
- +5.0 points
- Terminal-Bench 2.0 gain
- +3.8 points
- SuperGPQA gain
- +2.3 points
- API parameter
- preserve_thinking
- Availability
- Qwen Studio, API (coming soon)
The update addresses a critical bottleneck in agentic reliability: the loss of logic during long-running tasks. By introducing a preserve_thinking parameter, the model maintains its internal reasoning traces across an entire conversation. This builds on the agentic reliability focus established in earlier previews, ensuring the model doesn't lose context during multi-step edits.
You can test the model immediately via the interactive chat interface in Qwen Studio. Developers should look for the qwen3.6-max-preview identifier in the Alibaba Cloud Model Studio API, which is coming soon. The API supports industry-standard protocols and includes specific configurations for enabling and preserving thinking tokens during inference.
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