Llama vs Qwen
Which Open Source Model is right for you? See our complete breakdown.
| Feature | Llama | Qwen |
|---|---|---|
| MegaOne Score | 9/10 | 9/10 |
| Category | Open Source Model | Open Source Model |
| Pricing Model | Open Source | Freemium |
| Starting Price | Free / Open Source | $0.03/mo |
| Free Tier | Yes | Yes |
| API Available | No | No |
| Open Source | No | No |
| iOS App | No | No |
| Android App | No | No |
| Chrome Extension | No | No |
| Company | Meta Platforms | Alibaba Cloud |
| Total Funding | $16.0B | $53.0B |
Visual Comparison
About Llama
Llama is a family of open-weight large language models by Meta AI, enabling developers and researchers to build and scale generative AI applications.
Llama is a family of open-weight large language models (LLMs) developed by Meta AI, with the latest generation being Llama 4, released in April 2025. Llama 4 models, including Scout and Maverick, feature a Mixture-of-Experts (MoE) architecture, multimodal capabilities (text and image input, text output), and support for multiple languages. They offer large context windows, with Scout supporting up to 10 million tokens, enabling complex tasks like processing entire codebases or long documents.
About Qwen
Qwen is a family of large language models developed by Alibaba Cloud, offering multimodal capabilities and strong performance in coding and reasoning.
Qwen is a family of large language models developed by Alibaba Cloud, supporting text, image, and audio processing for diverse applications. The models are known for their strong capabilities in natural language processing, text generation, coding, and mathematical reasoning, and are available through APIs and as open-weight models for self-hosting.
It's a Tie
Both Llama and Qwen scored 9/10 in our analysis. Your choice depends on specific needs — check the feature comparison above to see which fits your workflow better.