Head-to-Head Comparison
Mistral vs Yi
Which Model Provider is right for you? See our complete breakdown.
Feature Comparison
| Feature | Mistral | Yi |
|---|---|---|
| MegaOne Score | 9/10 | 6/10 |
| Category | Model Provider | Open Source Model |
| Pricing Model | Freemium | Freemium |
| Starting Price | $14.99/mo | $0.10/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 SAS | 01.AI |
| Total Funding | $7.5B | $300M |
Visual Comparison
Mistral Yi
About Mistral
Mistral AI develops and provides open-weight and commercial large language models and AI solutions, focusing on performance, control, and European digital sovereignty.
Mistral AI is a French artificial intelligence company founded in 2023, specializing in developing large language models (LLMs) and AI solutions. As of November 2026, its flagship model is Mistral Large 4, a 1-trillion-parameter multimodal Mixture-of-Experts model with advanced capabilities in coding, cybersecurity, and agentic tasks. Mistral offers its models through its API (La Plateforme) and as open-weight downloads, enabling enterprises to deploy AI across various environments while maintaining data control.
About Yi
01.AI develops open-source large language models and full-stack enterprise AI solutions to enhance human productivity.
01.AI is a Beijing-based artificial intelligence company founded by Dr. Kai-Fu Lee, focusing on generative and agentic AI technology. The company develops the Yi series of open-source large language models, which are recognized for strong performance in areas such as language understanding, commonsense reasoning, coding, and mathematics. Beyond its foundational models, 01.AI also provides full-stack enterprise AI solutions, including industry-specific agent deployments and applications, and an enterprise AI decision hub platform.
The Verdict
Mistral takes the edge
With a MegaOne score of 9/10 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.
Related Coverage
