Cohere

Enterprise language models for generation, embeddings and reranking

AI Models & PlatformsFree planOverseasβ˜…β˜…β˜…β˜…β˜† 4.0

What is Cohere?

Cohere is an enterprise-focused model provider whose API centres on language tasks rather than a consumer chat app. Command models handle generation and chat, Embed turns text into vectors for search, and Rerank reorders retrieved passages, which is often the cheapest quality win in a retrieval pipeline. Multilingual handling is a genuine strength, and fine-tuning covers classification and generation on private data. The company also sells private deployments inside a customer's own cloud or on-premise environment, which is why it appears in regulated industries more often than in hobby projects.

Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.

Key features

  • Command chat and generation models served through one API
  • Embed and Rerank endpoints built for search and retrieval quality
  • Multilingual generation and retrieval across many languages
  • Fine-tuning on private data for classification and generation
  • Private deployments inside your own cloud or on-premise estate
  • Tool use and connectors for retrieval-backed assistants

Pros & cons

Strengths

  • Rerank measurably improves retrieval without a bigger model
  • Multilingual behaviour is consistent rather than an afterthought
  • Private deployment options suit regulated industries

Watch out for

  • No consumer chat product to trial the models casually
  • Free trial keys carry tight rate limits and modest volume caps
  • Model line-up is smaller than the largest cloud vendors

Best for & use cases

enterprise search, retrieval augmented generation, embeddings and multilingual text processing

If you're comparing similar products, check the alternatives below, or browse all tools in the AI Models & Platforms category.

FAQ

What is Rerank for?

It reorders search results by relevance after retrieval, which usually improves the passages an assistant sees without changing your vector database. In many retrieval projects it is the cheapest quality gain available before moving to a larger model.

Can I deploy it privately?

Yes. Beyond the public API, Cohere offers deployments inside a customer's own cloud or on-premise environment, which is the main reason regulated companies choose it. Those arrangements are sold through a sales conversation.

Is there an open model?

The company has published open research models, but its commercial line-up is served through the API. If you need to self-host frontier-quality chat weights, compare against providers that release them openly.