Promptslove

Qwen Prompt Generator

Generate optimized prompts for Alibaba's Qwen using the 2026 prompting framework. Hybrid Thinking toggle, 119+ language support, exceptional Chinese-English bilingual work, MCP tool integration, and competitive coding/math performance — production-ready for the Qwen app, Qwen Chat, the API, and self-hosted open-weight deployments.

Be specific about what you want the AI to do

Generated Prompt

Fill in the form and click "Generate" to create an optimized Qwen prompt.

Tip: The more specific your task description and context, the better the generated prompt will perform.

Qwen Tips

  • • Hybrid Thinking mode is Qwen's key feature — toggle ON for math, complex coding, or when accuracy matters; OFF for speed
  • • Qwen is exceptional at Chinese-English bilingual work — name the target language(s) explicitly
  • • Qwen supports 119+ languages — for low-resource languages, give Qwen 1-2 example sentences to anchor style
  • • For coding, name language, framework, version, dependencies, and coding standards precisely
  • • For math, ask Qwen to "show every step and recompute the final answer before stating it"
  • • Qwen has a large context window — paste long sources/docs/codebases, then put your instruction at the end

Qwen Prompt Templates

Copy-ready starting points for the most common jobs people bring to this model. Swap the [BRACKETED] parts for your own details, or use them as a shape to imitate when you write your own.

Bilingual Business Document

Language

Qwen's Chinese/English mastery with an explicit register per language.

Produce [DELIVERABLE] about [TOPIC] in both [LANGUAGE A] and [LANGUAGE B].

Audience: [AUDIENCE]. Register: [FORMAL / BUSINESS / CASUAL].

Requirements:
- Write each version natively — do not translate one into the other.
- Keep [TERMS / PRODUCT NAMES] identical across both.
- Match length within [TOLERANCE].

Format: [LANGUAGE A] version first, then a separator, then [LANGUAGE B].

Thinking-Mode Problem

Reasoning

Framed so Qwen's hybrid Thinking mode has something to work on.

Problem: [THE PROBLEM]

Given: [KNOWNS]. Find: [UNKNOWN]. Constraints: [CONSTRAINTS].

Reason through this step by step, checking each intermediate result before moving on. Verify the final answer against the constraints and state whether it satisfies all of them.

If the problem is underspecified, say what is missing instead of assuming.

MCP Tool Workflow

Agentic

Qwen ships MCP integration — name the servers and the calling policy.

Goal: [THE END STATE]

Available MCP tools:
- [SERVER/TOOL] — [what it provides, when to use it]
- [SERVER/TOOL] — [what it provides, when to use it]

Policy: query a tool rather than relying on memory for anything that could be stale; chain calls where one result feeds the next; report which tool produced each fact.

Constraints: [CONSTRAINTS].

Return the result plus a short trace of the calls you made.

Code with Full Spec

Engineering

Complete specification, Qwen's preferred coding input.

Write [WHAT] in [LANGUAGE + VERSION].

Framework: [FRAMEWORK]. Dependencies allowed: [LIST]. Style: [CONVENTION].

Behaviour:
[NUMBERED REQUIREMENTS]

Edge cases: [LIST]
Performance target: [TARGET]

Return the implementation, then the tests, then a note on any requirement you could not satisfy and why.

Multilingual Content Localisation

Language

Uses Qwen's 119+ language coverage with cultural adaptation rules.

Localise the content below for [TARGET MARKET] in [LANGUAGE].

This is localisation, not translation. Adapt:
- Examples and references to ones the target audience recognises
- Units, currency, date formats
- Idioms — replace rather than translate literally

Do NOT change: [PRODUCT NAMES / LEGAL TEXT / FIGURES].

Flag anything that does not transfer culturally and explain the issue.

Content:
[PASTE CONTENT]

Long-Document Summary

Analysis

Context-first placement for long inputs.

[PASTE LONG DOCUMENT]

---

Based on the document above, produce [DELIVERABLE] for [AUDIENCE].

Must include: [ESSENTIAL POINTS]. Target length: [LENGTH]. Output language: [LANGUAGE].

Cite the section behind each point. Do not add interpretation the document does not support.

How to Use the Prompt Generator

1

Define Your Task

Select a category, describe your task, and assign a role. Toggle Thinking ON for math, coding, or accuracy-critical work — leave it OFF for speed.

2

Set Language & Tools

Pick the output language (or Bilingual EN+ZH for Chinese-English work). If you have MCP tools attached, list them so Qwen knows when to call each.

3

Generate & Use

Click Generate. Paste the result into the Qwen app, Qwen Chat, the Alibaba Cloud DashScope API, or your self-hosted open-weight deployment.

Frequently Asked Questions

What is Qwen?

Qwen (formerly Tongyi Qianwen) is Alibaba's family of large language models. As of February 2026, Alibaba unified all of its consumer AI under the single "Qwen" brand. Qwen ships with hybrid Thinking modes, broad multilingual coverage (119+ languages and dialects), exceptional Chinese-English bilingual capability, Model Context Protocol (MCP) tool integration, and competitive coding/math performance. Open-weight Qwen models are also available for self-hosting.

What is Thinking mode?

Qwen's hybrid Thinking mode lets you toggle reasoning ON or OFF. Thinking ON makes Qwen reason step-by-step and verify before answering — pick this for math, complex coding, ambiguous briefs, and any task where accuracy matters. Thinking OFF keeps responses tight and fast — pick this for chat, quick lookups, or when latency matters.

How does this prompt generator work?

You provide structured inputs — task, role, context, audience, constraints, Thinking toggle, output language, and any MCP tools. Our AI applies Qwen-specific 2026 best practices: clear task + format up front, role assignment, mode-aware framing, instruction-after-context placement for long inputs, and explicit verification directives for math/code.

Why is Qwen good at Chinese-English bilingual work?

Qwen was developed by Alibaba in China and trained heavily on Chinese as well as English. It handles tone, idiom, and technical terminology in both languages much better than most Western models. For bilingual output, name the format ("English answer first, then Mandarin translation, then a glossary of technical terms in both"). This generator builds that scaffolding automatically.

What is MCP?

MCP (Model Context Protocol) is a standard for connecting AI models to tools, data sources, and workflows. Qwen supports MCP, so you can paste in tool definitions and ask Qwen to use them. When you fill in the MCP / Tool Use field, this generator names those tools in the prompt and tells Qwen when to use each.

Is this tool free to use?

Yes. You get 1 free prompt generation per day with no signup required. For unlimited access, sign up for a Promptslove membership which includes all AI tools and 20,000+ premium prompts.

Where can I use the generated prompts?

The prompts work with the Qwen app, Qwen Chat, the Alibaba Cloud DashScope API, OpenRouter, Hugging Face Spaces, and self-hosted open-weight Qwen deployments. They also drop cleanly into other tools — ChatGPT, Claude, Gemini, MiniMax, Kimi, DeepSeek — because the structure is universal.

Is Qwen open source?

Many Qwen models are open-weight and can be self-hosted, fine-tuned, and deployed freely. The flagship Qwen Chat product is hosted by Alibaba, but the open-weight checkpoints on Hugging Face mean you can run Qwen on your own infrastructure for privacy-sensitive work. Prompts produced here work equally well in either deployment.

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