Head-to-Head Comparison

Mistral vs Yi

Which Model Provider is right for you? See our complete breakdown.

Mistral

8/10 Our Pick Visit Mistral
VS

Yi

6/10 Visit Yi
FeatureMistralYi
MegaOne Score8/106/10
CategoryModel ProviderOpen Source Model
Pricing ModelFreemiumEnterprise
Starting Price$14.99/mo$199.00/mo
Free TierYesYes
API AvailableNoYes
Open SourceNoYes
iOS AppNoNo
Android AppNoNo
Chrome ExtensionNoNo
CompanyMistral AI01.AI (Beijing Lingyi Wanwu Information Technology Co., Ltd.)
Total Funding$4.0B$300M

Visual Comparison

Score Reach Value Team Funding Reviews
Mistral Yi

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.