Qwen
Alibaba Cloud / alibaba.com
Alibaba's open source large language model family with strong multilingual capabilities, offering models from 0.5B to 72B parameters with strong Chinese and English performance for global deployment.
Pricing
Free
Free plan
Yes
Category
Developer Tools
Platforms
4
Free plan
Yes
API access
Yes
Open source
Yes
Platforms
4
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What is Qwen?
Qwen (abbreviated from Tongyi Qianwen — 通义千问, meaning 'Thousand Questions, Universal Meaning') is Alibaba Cloud's open source language model family that has become one of the most capable open source models globally, particularly notable for its strong multilingual capabilities spanning Chinese, English, and many other languages.
Qwen 2.5, released in 2024, includes models from 0.5B to 72B parameters across several specialisations: Qwen 2.5 Coder for code generation, Qwen 2.5 Math for mathematical reasoning, and the base models for general language tasks. On multilingual benchmarks, Qwen models consistently perform at or above models of similar parameter count from other providers.
Qwen-VL adds multimodal capabilities — understanding images, videos, and documents alongside text — with strong performance on visual question answering and document understanding benchmarks. Qwen-Audio handles speech understanding and generation.
For Chinese language AI applications, Qwen is the strongest open source option, with training data and evaluation that covers Chinese linguistic and cultural context more comprehensively than models primarily trained on English data. Qwen's performance on Chinese CMMLU and other Chinese-language benchmarks typically leads the open source field.
The model family is available on Hugging Face and through Alibaba Cloud's Model Studio API. For global companies needing AI in Chinese alongside other languages, Qwen provides capabilities that Meta Llama and Google Gemma do not match at Chinese language tasks.
How Qwen works
Qwen runs as generative ai software built around text and image workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on python, cli, and web, with API access for teams that want to embed it into their own products.
Watch Qwen in action
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What makes it worth shortlisting
The capabilities that matter most for teams evaluating Qwen.
Strong Chinese language performance
Training data comprehensively covering Chinese language and cultural context produces leading open source performance on Chinese language benchmarks.
Model family breadth
0.5B to 72B parameter range with coding and math specialisations covering on-device inference through large-scale server deployment scenarios.
Multilingual coverage
100+ language support with notably strong performance on Chinese, Arabic, Korean, Japanese, and other non-English languages beyond the English-centric open source models.
Best use cases
Who should use it
Pros
- Strongest Chinese language performance among open source models — essential for Chinese-English AI applications
- 0.5B to 72B range covers on-device through large inference scenarios
- Qwen 2.5 Coder and Math specialisations provide task-specific performance improvements
- Strong multilingual coverage beyond Chinese-English including Arabic, Korean, Japanese, and others
Cons
- Licence terms require review — less permissive than MIT for some commercial uses
- Model management can be complex with many variants across language, size, and modality
- Less Western developer community familiarity than Meta Llama despite comparable capability
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Is it worth the price?
Qwen open source models free to download (Tongyi Qianwen licence). Alibaba Cloud provides API access. Commercial use permitted with licence review.
Model
Open Source
Starting price
Free
Free trial
No
Tools like Qwen
Meta Llama (rank 413) has larger English-focused ecosystem. Google Gemma (rank 414) is a strong efficiency alternative. Baichuan AI provides another Chinese-focused open source model. Mistral models are strong European multilingual alternatives.
Qwen vs Meta Llama
A side-by-side look at the closest alternative in this category.
Qwen
Alibaba Cloud
Meta Llama
Meta AI
Qwen open source models free to download (Tongyi Qianwen licence). Alibaba Cloud provides API access. Commercial use permitted with licence review.
Free to download and use commercially (with usage limits at scale). Meta provides API access via partners (AWS, Azure, NVIDIA). Open source under the Llama Community License.
Qwen open source models under Tongyi Qianwen Community Licence (commercial use permitted for most models). Alibaba Cloud API subject to Alibaba's data handling. Self-hosted deployment keeps data private.
Open source model under Meta Llama Community License. Derivative models subject to same licence terms. Commercial use permitted with usage threshold restrictions.
Meta's data handling: no data sent to Meta when running locally. Cloud API providers subject to their own data handling policies.
Review the Tongyi Qianwen Community Licence for commercial use terms. Self-hosted Qwen deployment keeps data private. Alibaba Cloud API subject to Alibaba's data handling and privacy terms.
When running Llama locally, no data is sent to Meta or any external party. Meta's cloud API providers have their own data handling policies. Review the Llama Community License for commercial use restrictions above 700M MAU.
- Strongest Chinese language performance among open source models — essential for Chinese-English AI applications
- 0.5B to 72B range covers on-device through large inference scenarios
- Qwen 2.5 Coder and Math specialisations provide task-specific performance improvements
- Strong multilingual coverage beyond Chinese-English including Arabic, Korean, Japanese, and others
- Completely free to use without API fees — massive cost advantage for high-volume applications
- Full data privacy when run locally — no data leaves company infrastructure
- Largest ecosystem of fine-tuned derivatives, tools, and community support of any open source model
- Llama 3.1 405B performance competitive with frontier proprietary models on many benchmarks
- Licence terms require review — less permissive than MIT for some commercial uses
- Model management can be complex with many variants across language, size, and modality
- Less Western developer community familiarity than Meta Llama despite comparable capability
- Running 405B model requires significant GPU hardware investment for on-premise deployment
- Smaller Llama variants (8B) less capable than frontier proprietary models for complex tasks
- Meta's commercial use licence has restrictions at very large scale (700M+ MAU) — review for large applications
Technical & deployment info
Key facts about model providers, platforms, and team support.
Model Provider
Alibaba Cloud
Models
Qwen 2.5 72B, Qwen 2.5 7B, Qwen 2.5 Coder, Qwen-VL
Platforms
Python, CLI, Web, API
Deployment
Open Source, SaaS
Integrations
Hugging Face, Alibaba Cloud, Ollama, vLLM, API
Team Collaboration
No
Launch Year
2024
Security & privacy
Compliance signals and data-handling notes as reported by the vendor.
Qwen open source models under Tongyi Qianwen Community Licence (commercial use permitted for most models). Alibaba Cloud API subject to Alibaba's data handling. Self-hosted deployment keeps data private.
Review the Tongyi Qianwen Community Licence for commercial use terms. Self-hosted Qwen deployment keeps data private. Alibaba Cloud API subject to Alibaba's data handling and privacy terms.
What users are saying
Verified reviews from signed-in users, stored in the backend and averaged into this tool's rating.
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Common questions about Qwen
Editorial Verdict
Should you use Qwen?
Qwen is the best open source LLM for Chinese language AI and global multilingual applications, and a strong general-purpose alternative to Meta Llama for developers who want competitive performance with strong multilingual capabilities.
Last verified July 24, 2026.