Llama vs Yi
Which Open Source Model is right for you? See our complete breakdown.
| Feature | Llama | Yi |
|---|---|---|
| MegaOne Score | 9/10 | 6/10 |
| Category | Open Source Model | Open Source Model |
| Pricing Model | Open Source | Freemium |
| Starting Price | Free / Open Source | $199.00/mo |
| Free Tier | Yes | Yes |
| API Available | No | Yes |
| Open Source | No | Yes |
| iOS App | No | No |
| Android App | No | No |
| Chrome Extension | No | No |
| Company | Meta Platforms | 01.AI |
| Total Funding | $2.3B | $300M |
Visual Comparison
About Llama
Meta's Llama is a family of open-weight, multimodal large language models designed for diverse applications, offering both self-hosting and third-party API access.
Llama 4 is Meta's current frontier family of natively multimodal AI models, leveraging a Mixture-of-Experts architecture for text and image understanding. Models like Llama 4 Maverick and Scout offer capabilities for chat, coding, and long-context processing up to 10 million tokens, with Llama 3.x models providing strong text-only and vision capabilities.
About Yi
01.AI's Yi is a series of open-source, bilingual large language models designed for high-throughput, cost-effective AI solutions, particularly strong in Chinese and English.
The Yi series models are next-generation open-source large language models developed by 01.AI, offering strong performance in language understanding, reasoning, and coding. They are particularly noted for their bilingual capabilities in Chinese and English, and are available for self-hosting or via managed cloud APIs, targeting enterprises seeking scalable and cost-effective AI solutions.
Llama takes the edge
With a MegaOne score of 9/10 versus 6/10, Llama edges ahead of Yi in our analysis. However, Yi may still be the better choice depending on your specific use case and budget.