Head-to-Head Comparison

Cohere vs Mistral

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

Cohere

7/10 Visit Cohere
VS

Mistral

8/10 Our Pick Visit Mistral
FeatureCohereMistral
MegaOne Score7/108/10
CategoryModel ProviderModel Provider
Pricing ModelFreemiumFreemium
Starting Price$0.04/mo$14.99/mo
Free TierYesYes
API AvailableNoNo
Open SourceNoNo
iOS AppNoNo
Android AppNoNo
Chrome ExtensionNoNo
CompanyCohere Inc.Mistral AI SAS
Total Funding$1.5B$3.8B

Visual Comparison

Score Reach Value Team Funding Reviews
Cohere Mistral

About Cohere

Cohere provides enterprise-grade large language models and AI tools for businesses, focusing on secure, customizable, and multilingual solutions.

Cohere is a Canada-based international technology company specializing in large language models (LLMs) and AI products for enterprise use, particularly in regulated industries like finance and healthcare. It offers a suite of AI tools including generative models (Command, Aya), advanced retrieval models (Embed, Rerank), and AI workspace solutions (North, Compass) through an API as a managed service. The platform emphasizes multilingual capabilities, enterprise-grade security, and flexible deployment options, allowing businesses to build scalable AI applications for tasks like chatbots, search,…

About Mistral

Mistral AI develops and deploys open-source and commercial AI models, offering a platform for enterprises to train custom models.

Mistral AI is a French artificial intelligence company that builds high-performance, commercially viable large language models with both open-source and proprietary offerings. As of March 2026, they launched 'Mistral Forge,' a platform enabling enterprises to build custom AI models trained on their proprietary data, and 'Mistral Small 4,' a new hybrid, multimodal model that unifies reasoning, multimodal understanding, and agentic coding capabilities.

Mistral takes the edge

With a MegaOne score of 8/10 versus 7/10, Mistral edges ahead of Cohere in our analysis. However, Cohere may still be the better choice depending on your specific use case and budget.