Qwen 3.x User Manual. How to use AI and how to create prompts for AI.
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Qwen 3.x User Manual
Focus: Qwen 3.x Series (especially Qwen3-235B-A22B, Qwen3.5 / Qwen3.6-Plus, and Qwen3.7-Max) – 2026 Edition
Released: April 2025 (Qwen3) with major updates through 2026
Architecture: Dense + Mixture-of-Experts (MoE) variants
Flagship Example: Qwen3-235B-A22B (235B total parameters, ~22B active)
Context Window: Up to 1 Million tokens (native 128K–256K, extendable)
License: Apache 2.0 (open weights for many variants)
Variants: Qwen3 (base), Qwen3.5 (multimodal focus), Qwen3.6-Plus, Qwen3.7-Max (agentic flagship), smaller models from 0.6B to 32B+This manual focuses on the high-performance tiers (Qwen3-235B, Qwen3.6-Plus, Qwen3.7-Max) ideal for demanding tasks.
Getting Started
- Platforms: chat.qwen.ai, Alibaba Cloud Model Studio, Hugging Face, ModelScope, DeepInfra, Groq, Ollama, vLLM, SGLang.
- Reasoning Modes (hybrid thinking):
- Non-Thinking: Fast responses.
- Thinking Mode: Step-by-step reasoning (toggle with /think or enable_thinking=True).
- Hybrid: Automatic or manual switching.
- Recommended Settings:
- Temperature: 0.6–0.7 (Thinking), 0.7–1.0 (Non-Thinking).
- Top_p: 0.95.
- Max tokens: Match your needs (excellent long output support).
- For agentic work: Use Qwen-Agent framework.
Qwen 3.x Top 5 Strengths
1. Exceptional Multilingual & Non-English Performance (Strongest Strength)
- Dominates Chinese, multilingual (119+ languages), and cross-lingual tasks.
- Outstanding for global applications, translation, and region-specific content.
2. Strong Multimodal Capabilities (Native Vision + Audio + Video)
- Excellent image, video, and audio understanding/generation.
- Native multimodal agents in Qwen3.5/3.6+ series.
3. Excellent Price-Performance & Efficiency
- Highly efficient MoE architecture (fewer active parameters).
- Competitive or better performance at lower cost than many closed models.
4. Powerful Coding & Agentic Abilities
- Strong on coding benchmarks, agentic workflows, tool use, and long-horizon tasks (especially Qwen3.7-Max).
5. Massive Context Window + Long-Horizon Reasoning
- Up to 1M tokens with strong coherence.
- Hybrid thinking mode excels at complex, multi-step problems.
How to use Qwen 3.x
Prompt Examples:
1. Exceptional Multilingual Performance
- Multilingual Marketing Campaign:
Create a full marketing campaign for [product] in English, Simplified Chinese, Spanish, Arabic, and French. Adapt tone, cultural references, idioms, and visuals suggestions for each market while maintaining consistent brand voice. - Legal Document Localization:
Translate and culturally localize this contract from English to Japanese, German, and Brazilian Portuguese. Highlight any legal or cultural risks and provide adaptation notes. - Cross-Lingual Research Synthesis:
Synthesize findings from these papers written in Chinese, Russian, Spanish, and English. Identify agreements, contradictions, and unique insights per language/culture. - Multilingual Customer Support:
Respond to this customer complaint in their native language [language]. Then provide professional English, Chinese, and Spanish versions for internal records. - Low-Resource Language Task:
Write a professional business email in [low-resource language, e.g. Swahili / Kazakh]. Make it polite, clear, and culturally appropriate.
2. Strong Native Multimodal Capabilities
- Image/Video Analysis:
[Upload image or video] Analyze this visual content in detail: describe scenes, extract text, identify objects/actions, suggest improvements, and generate alt-text in English + Chinese. - GUI / Screenshot Agent:
[Upload screenshot] This is a mobile app screen. Describe the UI, identify issues, and suggest code improvements for the frontend. - Multimodal Vibe Coding:
[Upload reference images] Create a modern website that matches this design vibe. Generate full HTML + Tailwind CSS code. - Audio-Visual Understanding:
[Upload video/audio] Summarize the key points, transcribe dialogue, identify speakers' emotions, and extract actionable insights. - Visual Reasoning:
[Upload diagram/chart] Explain this visual data step-by-step and generate insights + recommendations.
3. Excellent Agentic & Long-Horizon Capabilities
- Long-Horizon Project:
Act as an autonomous agent. Build a complete project plan for [project] and execute the first 5 steps using available tools. Continue autonomously. - Multi-Step Automation:
Using Thinking Mode, automate the full workflow: Research [topic] → Summarize → Create presentation outline → Generate slides description. - Sustained Agent Run:
You are a long-horizon agent. Maintain goal coherence over many steps. Start optimizing [task] and continue until complete or I say stop. - Tool-Use Heavy Task:
Use tools iteratively to [complex goal, e.g. find best flight + hotel + create itinerary]. Show reasoning at each step. - Multi-Agent Orchestration:
Simulate a team of agents (Researcher, Writer, Critic, Executor) to complete [project]. Coordinate until final deliverable.
4. Powerful Coding & Agentic Programming
- Repository-Level Coding:
[Attach codebase] Perform a full review and refactor this repository for better performance and modern standards. - Frontend Vibe Coding:
[Upload design images] Build a pixel-perfect responsive website matching this design using React + Tailwind. - Agentic Debugging:
Debug this failing system step-by-step. Reproduce mentally, identify root cause, and fix with tests. - Full Stack Feature:
Implement a complete [feature] including backend API, frontend UI, and database schema. - Code Review & Optimization:
Review this code for bugs, security issues, performance, and maintainability. Provide improved version.
5. Outstanding Price-Performance & Efficiency
- High-Volume Batch Task:
Process these 200 items efficiently and output in structured CSV: [list or data]. - Cost-Optimized Report:
Analyze this large dataset and create an executive summary with key insights using minimal tokens. - Fast Content Generation:
Generate 50 high-quality LinkedIn posts on [topic] optimized for engagement. - Local/Quantized Optimization:
I’m running a quantized version locally. Suggest prompt adjustments to maintain quality while reducing token usage. - Efficient Daily Workflow:
Create an optimized daily task list and automation plan for [role] using minimal steps.
Best Practices Summary
- Use Thinking Mode (/think) for hardest tasks.
- Leverage hybrid mode for balanced speed/intelligence.
- Structure prompts clearly (Role → Task → Context → Format).
- For long context: Provide summaries or tables of contents first.
- Iterate with follow-ups and use Qwen-Agent for tool calling.
- Combine strengths: multilingual + multimodal + agentic.

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