Qwen3.5: An Agentic AI Model Built for Independent Execution of Complex Tasks 68

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Qwen3.5: An Agentic AI Model Built for Independent Execution of Complex Tasks

Qwen3.5 (Chinese name: 千问3.5) is a flagship model for the "Agentic AI era" launched by Alibaba's Tongyi Qianwen team on February 16, 2026. It is purpose-built for the autonomous execution of complex tasks.

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

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

BenchmarkQwen3.5 ScoreCompared Model
MMLU-Pro (Knowledge Reasoning)87.8Surpasses GPT-5.2
GPQA (PhD-Level Problems)88.4Higher than Claude 4.5
IFBench (Instruction Following)76.5New record

Qwen3.5 Performance Benchmarks

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.