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LLMS • CURATED • UPDATED FEB 5, 2026

Qwen

Alibaba's multilingual open-source LLM

Qwen is Alibaba Cloud's family of large language models with multiple versions: Qwen-1.5 (February 2024), Qwen2 (2024), Qwen2.5 (January 3, 2026) with seven dense models from 0.5B to 72B parameters plus MoE variants, and Qwen3 (April 29, 2026) with variants Qwen3-Next, Qwen3-Max, and Qwen3-Omni focusing on context length scaling and parameter efficiency. Designed for multilingual applications with strong support for Chinese, English, and other languages. Excels at code generation, mathematical problem-solving, and structured data understanding. Pre-trained on significantly larger datasets than predecessors. Available through Alibaba Cloud API (DashScope), Hugging Face, and open-source model weights for local deployment. Offers both commercial API access and open-source licensing.

Pricing Freemium
Platforms api, local
API Yes
Open Source Yes
Modalities LLMs
Best For Best for Multilingual
Date Added 2026-02-05

Alibaba's high-performance multilingual LLM with strong Chinese language support, cost-efficient pricing, and comprehensive open-source availability.

Visit qwenlm.com for documentation and model downloads. For API access, sign up at dashscope.aliyun.com (Alibaba Cloud DashScope) and obtain API keys. Use the REST API to integrate Qwen into your applications. For local deployment, download model weights from Hugging Face (huggingface.co/Qwen) or GitHub (github.com/QwenLM/Qwen) and use compatible frameworks. Free tier includes limited API access. Paid plans offer higher rate limits and access to larger models including Qwen3 variants.

1 Leverage multilingual capabilities for Chinese-English applications
2 Use appropriate model size based on your computational resources
3 Take advantage of strong code generation for development tasks
4 Explore mathematical reasoning capabilities for problem-solving
5 Use open-source models for privacy-sensitive deployments
Website Documentation Hugging Face GitHub API
Claude Fable 5 NotebookLM Claude Opus 5 GPT-5.6 Sol Kimi K3

Multilingual Content Generation

Generate content in multiple languages, especially Chinese and English, with high quality and cultural awareness.

STEPS:
  1. Sign up for Qwen API access or download open-source models
  2. Specify target languages in your prompts
  3. Generate multilingual content with proper localization
  4. Review and refine outputs

Code Generation and Debugging

Use Qwen's strong code generation capabilities for development tasks and problem-solving.

STEPS:
  1. Provide detailed code requirements or error descriptions
  2. Specify programming language and framework
  3. Generate code solutions or explanations
  4. Test and iterate on generated code
Freemium Free tier available

Free tier includes limited features. Paid plans unlock full access, higher usage limits, and commercial usage rights.

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Q

Is Qwen free?

A

Qwen offers a free tier with optional paid upgrades.

Q

Does Qwen have an API?

A

Yes, Qwen offers an API for programmatic integration.

Q

What is Qwen best for?

A

Qwen is best for Multilingual. Qwen is Alibaba Cloud's family of large language models with multiple versions: Qwen-1. Alibaba's high-performance multilingual LLM with strong Chinese language support, cost-efficient pricing, and comprehensive open-source availability.

Q

What platforms does Qwen support?

A

Qwen supports api, local.

Q

Is Qwen open source?

A

Yes, Qwen is open source. You can access the source code on GitHub at https://github.com/QwenLM/Qwen.

Q

How do I get started with Qwen?

A

Visit qwenlm.com for documentation and model downloads. For API access, sign up at dashscope.aliyun.com (Alibaba Cloud DashScope) and obtain API keys. Use the REST API to integrate Qwen into your applications. For local deployment, download model weights from Hugging Face (huggingface.co/Qwen) or Gi...

Q

How do I use Qwen?

A

Qwen is a large language model for text generation, analysis, and conversation. Use the API for programmatic access. Enter prompts or questions to get responses. It excels at strong multilingual capabilities, especially chinese.

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