Qwen Models
Complete directory of 43 Qwen AI models from Alibaba Cloud, ranked by composite score. Compare every Qwen model including Qwen 3, Qwen 2.5, QwQ, and more by pricing, capabilities, context window, and performance. Data refreshed hourly.
Total Models
43
Average Score
52
Free Models
0
With Reasoning
29
All Qwen Models Ranked
Every Qwen model sorted by composite score. Click any row for detailed benchmarks and analysis.
Qwen Pricing Breakdown
Qwen API pricing across all models. Prices are per 1 million tokens.
Qwen Capabilities
How many Qwen models support each capability.
Why Qwen Models?
Open Source
Qwen models are released with open weights under permissive licenses. Teams can self-host, fine-tune on proprietary data, and deploy without vendor lock-in. The Qwen family has become one of the most popular open-source model series, with active community support for quantizations, adapters, and tooling.
Multilingual Excellence
Developed by Alibaba Cloud, Qwen models excel at multilingual tasks with particularly strong Chinese and English performance. The training data spans dozens of languages, making Qwen an ideal choice for international applications, translation pipelines, and cross-lingual retrieval tasks.
Competitive Pricing
Qwen models are available through major API providers at highly competitive per-token rates. Several Qwen variants are offered completely free, and even the largest models undercut many proprietary alternatives, making them ideal for high-volume production workloads.
Self-Hosting
With open weights, Qwen models can be deployed on your own infrastructure using vLLM, TGI, or Ollama. Self-hosting eliminates per-token API costs, keeps data fully private, and allows custom optimization for your specific hardware. The Qwen family includes models at every size tier from 4B to 235B+ parameters.
Qwen Open Source Status
28 of 43 Qwen models in our database are marked as open source. Alibaba Cloud has been one of the most prolific contributors to the open-source AI ecosystem, releasing model weights under permissive licenses that allow commercial use, fine-tuning, and redistribution.
The Qwen family spans a wide range of model sizes and specializations. Qwen 3 models represent the latest generation with mixture-of-experts architectures and thinking capabilities, while Qwen 2.5 remains a proven workhorse for coding and general-purpose tasks. The QwQ series focuses on reasoning and chain-of-thought problem solving.
For teams evaluating Qwen vs other open-source models, the breadth of the Qwen lineup is a major advantage. From lightweight 4B-parameter models for edge deployment to 235B+ parameter flagships, Qwen provides options at every scale. All open-weight models can be self-hosted with tools like vLLM, Ollama, or text-generation-inference.
Explore More AI Model Data
Dive deeper into AI model rankings, pricing breakdowns, and head-to-head comparisons across all providers.
Qwen (Tongyi Qianwen) is a family of large language models by Alibaba Cloud. Qwen 2.5 models are competitive with leading Western models and available as open-source, making them popular in Asia and for self-hosted deployments.
Qwen models are open-source and free to download for self-hosting. They are also available through cloud providers at competitive prices, often cheaper than comparable closed-source models.
Qwen 2.5 72B is competitive with Llama 3.1 70B on most benchmarks. Qwen tends to perform better on multilingual tasks, especially Chinese. Both are excellent open-source options for self-hosted deployments.