# Qwen Models

Qwen AI models in Cosverse AI help with AI chat, writing, coding, research, summarization, and document analysis.

Use Qwen models when you need multilingual support, strong reasoning, and reliable performance across a wide range of tasks.

### What you can do with Qwen models

* Ask questions and get clear AI chat responses.
* Write, rewrite, and expand content faster.
* Brainstorm ideas, research topics, and organize information.
* Summarize long documents and extract key points.
* Explain code, debug issues, and support technical work.
* Analyze files and work from detailed context.

### Available Qwen Models:

<table><thead><tr><th width="220.390625">Model Name</th><th>Short Discription</th></tr></thead><tbody><tr><td><strong>Qwen3 VL 30B A3B Thinking</strong></td><td>A multilingual vision-language model with strong reasoning and instruction-following capabilities.</td></tr><tr><td><strong>Qwen3 235B</strong></td><td>A powerful multilingual large language model with superior text understanding and generation.</td></tr><tr><td><strong>Qwen3 Max Thinking</strong></td><td>A powerful multilingual large language model with superior text understanding and generation.</td></tr></tbody></table>

### Why use Qwen Models in Cosverse AI

Qwen models are developed by Alibaba Cloud and are among the most capable multilingual AI models available. Here's why they stand out in Cosverse AI:

* **Multilingual excellence** — Qwen models are optimized for both English and Chinese, along with many other languages, making them ideal for global users
* **Strong reasoning capabilities** — Qwen Thinking models use extended reasoning to solve complex problems step by step.
* **Vision + language support** — Qwen3 VL 30B A3B Thinking can analyze images, charts, and documents alongside text.

### Best use cases for Qwen Models

* Translating and writing content in multiple languages
* Solving math, logic, and reasoning problems with step-by-step thinking
* Analyzing images, diagrams, and visual documents
* Writing and debugging code across multiple programming languages
* Summarizing long documents and extracting key information
* Generating detailed reports, essays, and structured content

### &#x20;How to get better results with Qwen Models

Be specific in your prompts— Provide clear context and instructions for more accurate responses.

Use Qwen Max Thinking for complex tasks\*\* — Choose Thinking models when you need deep reasoning or multi-step problem solving.

Upload images with Qwen VL— Use Qwen3 VL 30B A3B Thinking when your task involves visual content like screenshots or charts.

Use Qwen 235B for large-scale tasks — Its massive parameter count handles long, complex documents and detailed generation.

Specify the language — Mention your preferred language at the start of the prompt for the best multilingual output.

If you are comparing providers, see [Available AI Models](https://docs.cosverse.ai/getting-started/available-ai-models).


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.cosverse.ai/ai-models/qwen-models.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.