Qwen3.6-Plus
Alibaba's flagship agentic AI model with hybrid linear attention, always-on reasoning, and autonomous multi-step coding workflows
Qwen3.6-Plus
Qwen • April 2026
Training Data
Up to early 2026
Qwen3.6-Plus
April 2026
Parameters
Not disclosed
Training Method
Hybrid linear attention + sparse Mixture of Experts
Context Window
1,000,000 tokens
Knowledge Cutoff
Not disclosed
Key Features
1M Context with 65K Output • Always-On Chain-of-Thought • Native Function Calling & Agentic Coding
Capabilities
Coding: Excellent
Reasoning: Excellent
Multilingual: Very Good
What's New in This Version
Expands context to 1M tokens, uses ~515 fewer reasoning tokens per task, achieves perfect consistency (10.0 vs 9.0), and delivers significantly faster inference vs Qwen3.5-Plus
Alibaba's flagship agentic AI model with hybrid linear attention, always-on reasoning, and autonomous multi-step coding workflows
What's New in This Version
Expands context to 1M tokens, uses ~515 fewer reasoning tokens per task, achieves perfect consistency (10.0 vs 9.0), and delivers significantly faster inference vs Qwen3.5-Plus
Technical Specifications
Key Features
Capabilities
Other Qwen Models
Explore more models from Qwen
Qwen3.8-Max
Alibaba's largest model yet — a 2.4-trillion-parameter multimodal MoE flagship with 1M context accepting text, image, and video input, and the first Max-class Qwen slated for open weights
Qwen3.7-Max
Alibaba's closed text flagship for reasoning and long-horizon agents — 1M context, MCP and multi-agent orchestration, tuned for autonomous coding and office automation
Qwen3.7-Plus
Multimodal agent sibling to Qwen3.7-Max, adding native vision while keeping the 1M-token context and agentic tooling at a lower price point