Mistral vs Yi
Which Model Provider is right for you? See our complete breakdown.
| Feature | Mistral | Yi |
|---|---|---|
| MegaOne Score | 8/10 | 6/10 |
| Category | Model Provider | Open Source Model |
| Pricing Model | Freemium | Enterprise |
| Starting Price | $14.99/mo | $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 | Mistral AI | 01.AI (Beijing Lingyi Wanwu Information Technology Co., Ltd.) |
| Total Funding | $4.0B | $300M |
Visual Comparison
About Mistral
Mistral AI provides open-weight and commercial large language models, specializing in efficient, high-performance AI solutions with a focus on European data sovereignty.
Mistral AI is a French AI lab offering a range of open-weight and proprietary large language models, including general-purpose models like Mistral Large 3, and specialists for coding (Codestral), vision (Pixtral), and reasoning (Magistral). It provides an API for its models and a consumer chat application, Le Chat, emphasizing cost-efficiency, European data residency, and flexible deployment options for enterprises and developers. Many models are available under the Apache 2.0 license for self-hosting, while others are accessible via their paid API,…
About Yi
01.AI develops open-source large language models and enterprise AI agent platforms, focusing on bilingual capabilities and cost-effectiveness.
01.AI, founded by Kai-Fu Lee, offers the Yi series of open-source large language models, including Yi-1.5, Yi-Coder, and Yi-VL, which are recognized for strong performance in language understanding, reasoning, and coding, particularly in English and Chinese. As of August 2026, the company is transitioning its focus to enterprise-level AI solutions with platforms like TrueNorth (万策) and Wanzhi (万智), while discontinuing its self-serve API platform.
Mistral takes the edge
With a MegaOne score of 8/10 versus 6/10, Mistral edges ahead of Yi in our analysis. However, Yi may still be the better choice depending on your specific use case and budget.