Qwen3.5: An Agentic AI Model Built for Independent Execution of Complex Tasks
What is Qwen3.5?
Qwen3.5 (Chinese name: 通义千问3.5) is a flagship model launched by Alibaba Cloud's Tongyi Qianwen team on February 16, 2026, designed for the "Agentic AI era," specifically built for the independent execution of complex tasks.

Qwen3.5 Improvements
Hybrid Attention Mechanism
Capable of processing 128K long texts
Better long-context understanding
Faster reasoning with lower computational cost
Native Multimodal Architecture
Evolved from a pure-text model into a multimodal model
Trained with a mix of vision and text data
Can truly understand images, rather than performing simple "image-to-text" conversion
Comes with built-in visual processing to understand images, videos, and other content
Dual-Version Open Source
2B Dense Version: Small footprint, suitable for edge devices
35B MoE Version: Strong performance, suitable for complex tasks
Both performance and cost are well covered
Qwen3.5 Efficiency Performance
Parameter count: Total 397B parameters, 17B activated
Performance: Achieves a level comparable to Qwen3-Max with less than 40% of the parameters
VRAM usage: 60% less
Inference efficiency: 8.6x faster
Maximum inference throughput: Up to 19x
Qwen3.5 Performance Benchmarks
| Benchmark | Qwen3.5 Score | Compared Model |
|---|---|---|
| MMLU-Pro (Knowledge Reasoning) | 87.8 | Surpasses GPT-5.2 |
| GPQA (PhD-Level Problems) | 88.4 | Higher than Claude 4.5 |
| IFBench (Instruction Following) | 76.5 | New record |

Capability Enhancements
Multimodal understanding: Improved understanding and retrieval of images, videos, and other content
Agent capabilities: Improved task planning, tool invocation, and autonomous execution
Code generation: Stronger programming capabilities, with better generation, completion, and debugging
Multilingual: Increased Chinese, English, and other language data
STEM & Reasoning: Strengthened abilities in science, technology, engineering, and mathematics
Cost & Pricing
API price: As low as 0.8 CNY per million tokens, 1/18 of Gemini 3 Pro
Training cost: Reduced by 50% with a 10% efficiency boost using FP8/FP32 precision strategies and other techniques
Usage cost: 60% less than the previous generation
Application Scenarios
Qwen3.5 was launched right at the "AI Application Commercialization Explosion Period," and can be applied in these areas:
Enterprise Applications - Intelligent customer service, document analysis
Developers - Code assistance, automated development
Multimodal - Image understanding, video analysis
Education & Research - STEM problem solving, academic research
Agents - Autonomous task execution systems
Related Links
GitHub: https://github.com/QwenLM/Qwen3.5
Chat: https://chat.qwen.ai
API: https://modelstudio.console.alibabacloud.com/ap-southeast-1/?tab=doc#/doc/?type=model&url=2840914_2&modelId=group-qwen3.5-plus
Qwen Code: https://github.com/QwenLM/qwen-code
Hugging Face: https://huggingface.co/collections/Qwen/qwen35
ModelScope: https://modelscope.cn/collections/Qwen/Qwen35
Blog: https://qwen.ai/blog?id=qwen3.5
Qwen3.5 represents a major upgrade to the Tongyi Qianwen series. With its native multimodal architecture, hybrid attention mechanism, and MoE design, it boosts both performance and efficiency while remaining open source. The model is already available on the Qianwen App and PC client, where users can switch to it by clicking the "Qianwen" icon at the top of the page.
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