Keywords AI

Cohere vs Meta AI

Compare Cohere and Meta AI side by side. Both are tools in the Foundation Models category.

Quick Comparison

	Cohere	Meta AI
Category	Foundation Models	Foundation Models
Pricing	Usage-based	Open Source
Best For	Enterprises building RAG-powered search and knowledge applications	Developers and researchers who want full control over their AI models and infrastructure
Website	cohere.com	ai.meta.com
Key Features	Command R+ for RAG applications Enterprise-grade embeddings Rerank API for search quality Fine-tuning with custom data Multilingual support in 100+ languages	Llama open-source model family Free for commercial use Self-hostable on any infrastructure Active open-source community Multiple model sizes (8B to 405B)
Use Cases	Retrieval-augmented generation pipelines Enterprise search and knowledge management Multilingual content processing Document classification and analysis Custom model training for specific domains	Self-hosted inference for data privacy Fine-tuning for domain-specific applications On-device AI for mobile and edge Research and academic use Cost-optimized inference at scale

When to Choose Cohere vs Meta AI

Choose Cohere if you need

Retrieval-augmented generation pipelines
Enterprise search and knowledge management
Multilingual content processing

Pricing: Usage-based

Choose Meta AI if you need

Self-hosted inference for data privacy
Fine-tuning for domain-specific applications
On-device AI for mobile and edge

Pricing: Open Source

About Cohere

Cohere provides enterprise-focused language models optimized for business applications including search, classification, and retrieval-augmented generation (RAG). Their Command, Embed, and Rerank models are designed for production workloads with features like fine-tuning, private deployments, and multi-language support across 100+ languages. Cohere differentiates with its focus on enterprise security, compliance, and the ability to deploy models on any cloud or on-premises infrastructure.

View Cohere profile →Visit website

About Meta AI

Meta AI develops the Llama series of open-source large language models, which have become the foundation for a large portion of the open-source AI ecosystem. Llama models are freely available for commercial use, can be fine-tuned and self-hosted, and are offered through dozens of inference providers. Meta's commitment to open-source AI has made Llama one of the most widely deployed model families in the world, used by startups, enterprises, and researchers who need customizable, self-hosted AI capabilities.

View Meta AI profile →Visit website

What is Foundation Models?

Companies that train and release their own large language models and foundation models. These organizations invest in large-scale model training, publish research, and offer API access to their proprietary models.

Browse all Foundation Models tools →