Qwen 3.5

What is Qwen 3.5?

Qwen 3.5 is the upcoming next-generation flagship large language model (and multimodal model) series developed by Alibaba's Qwen team (Alibaba Cloud). It builds on the highly successful Qwen 3 family, which became one of the most popular open-source AI model families globally in 2025 thanks to strong performance, permissive licensing, and wide applicability.

How to use Qwen 3.5?

1. Via Qwen Chat — Free web interface at chat.qwen.ai for instant chatting, multimodal input (text + images/videos), image generation, document analysis, and more.
2. Through APIs — Alibaba Cloud's Model Studio or Qwen API (OpenAI-compatible format) for developers and businesses to integrate into apps, with tiered pricing for high-volume usage.
3. Local / Open-Source Deployment — Download open-weight variants from Hugging Face or ModelScope, then run with frameworks like Ollama, LM Studio, Transformers, vLLM, or llama.cpp for offline/local inference on your hardware (especially smaller/quantized versions).

Core Features

• Native Multimodal (Vision-Language Model) — Understand and reason over images, documents, charts, and potentially video from the start.
• Hybrid Attention + MoE Architecture — Combines efficient linear attention (for long contexts) with full attention layers; MoE variants activate only a fraction of parameters for faster/cheaper inference.
• Advanced Reasoning & Thinking — Step-by-step chain-of-thought, self-correction, tool use, and agentic capabilities for complex problem-solving.
• Superior Math & Coding — Expected to excel in mathematical reasoning, code generation/debugging across many languages, and agentic programming tasks.
• Long Context Support — Likely K+ tokens (potentially up to M+ in future variants) with efficient handling.
• Multilingual — Strong support for dozens of languages, including Chinese, English, and many others.
• Open-Weight Access — Smaller and mid-size variants fully open-source under permissive license (e.g., Apache .), enabling local running, fine-tuning, and commercial use.

Use Cases

• Software Development & Coding Agents — Generate, debug, refactor code; build autonomous coding agents; handle repository-scale understanding.
• Complex Reasoning & Problem Solving — Math competitions, scientific analysis, logical puzzles, multi-step planning.
• Multimodal Applications — Analyze documents, charts, screenshots, photos; visual question answering; image-based reasoning.
• Enterprise & Business Tools — Customer support chatbots, content generation, data analysis, translation across + languages.
• Research & Education — Academic tasks, research assistance, teaching aids with step-by-step explanations.
• Local/Private AI — Run powerful open models on personal servers or edge devices for privacy-sensitive applications.