Cohere
Build incredible products with world-class language AI
Mistral AI
Open and portable generative AI for devs and businesses
Updated February 2026
| Cohere | Mistral AI | |
|---|---|---|
| Rating | 4.9★ | 5.0★ |
| Reviews | 13 | 32 |
| Pros | 15 | 21 |
| FactScore™ | 56.4 | 75.9 |
FactScore™ Comparison
FactScore™ weighs both quality (rating) and popularity (reviews) for a fairer ranking than stars alone.
Pros & Cons
Only in Cohere — Pros
Boosting search precision Multi-modal embeddings Answer generators Cost-effective Document search Efficient embedding generation Enterprise focus High volume prompting High-quality image selection Instructional workflows Large language model Reliable reranker system Reranking models Unified embedding Well-structured writingBoth tools — Pros
—Only in Mistral AI — Pros
Open source models Open technology commitment Performance and scalability Support for AI community Cost-effective solutions Optimized commercial models Flexible deployment options Memory efficiency Permissive licensing Seamless API integration AI infrastructure Best ddos protection Data sovereignty and security Easy prototyping and experimenting European model Fine-tuning capabilities GDPR compliance Long context windows Powerful MoE architecture State-of-the-art transformer-based models Support for multiple programming languagesOnly in Cohere — Cons
—Both tools — Cons
—Only in Mistral AI — Cons
—Details
| Cohere | Mistral AI | |
|---|---|---|
| Categories | LLMs, AI Infrastructure Tools | LLMs, AI Chatbots, AI Infrastructure Tools |
| Platforms | Web | Web · iOS · Android |
| Became Popular | April 25, 2023 | September 29, 2023 |
| Website | cohere.com | mistral.ai |
Who Should Pick Which?
Choose Cohere if...
- Boosting search precision
- Multi-modal embeddings
- Answer generators
Choose Mistral AI if...
- Open source models
- Open technology commitment
- Performance and scalability
With a FactScore™ of 56.4 vs 75.9, Mistral AI leads in community reception. Cohere uniquely offers Boosting search precision and Multi-modal embeddings, while Mistral AI stands out for Open source models and Open technology commitment.
What Users Say
Cohere
We used Cohere multi-modal embeddings to select the images for the articles. We found that this works better than GPT-Vision to select high-quality images that are contextually relevant to the surr...
We are blown away by Cohere Embed 4’s ability to accurately surface relevant products to search queries. E-commerce data is complex, containing images and multifaceted text descriptions. Being able...
We used Cohere as it was a cost-effective document indexing solution that provided efficient embedding generation for knowledge base features.
Mistral AI
A special thanks to Mistral AI for their exceptional generative AI solutions. As an EU-based team, their commitment to GDPR compliance aligns seamlessly with our mission to provide privacy-first mo...
Affordable and powerful LLM. We love using Mixtral 8x7b with the flexibility of using any deployment infrastructure we choose.
We use Mistral as an endpoint in our team builder flow; you can combine this model with all available models.
Related Comparisons
Frequently Asked Questions
Which is better, Cohere or Mistral AI?
Based on FactScore™, Mistral AI leads with a score of 75.9 vs 56.4. Mistral AI has a higher rating of 5.0★ compared to 4.9★.
What are the pros of Cohere compared to Mistral AI?
Cohere uniquely offers: Boosting search precision, Multi-modal embeddings, Answer generators, Cost-effective, Document search.
What are the pros of Mistral AI compared to Cohere?
Mistral AI uniquely offers: Open source models, Open technology commitment, Performance and scalability, Support for AI community, Cost-effective solutions.
Is Cohere better rated than Mistral AI?
Cohere is rated 4.9★ from 13 reviews. Mistral AI is rated 5.0★ from 32 reviews.
What is the FactScore™ of Cohere and Mistral AI?
FactScore™ weighs rating and review volume together. Cohere scores 56.4 and Mistral AI scores 75.9.
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