Introducing Cohere’s Enterprise Foundation Models
Benefits
Meet Cohere's Command FM
Command is a text generation model for business use cases.
Use cases
Model version
Rerank 3.5
Enhances search accuracy by reranking keyword and vector results, ensuring only the most relevant content reaches the model—delivering better responses while reducing both latency and costs.
Max tokens: 4,096
Languages: English, Chinese, Korean, Hindi, Japanese, Spanish, German, French, Arabic, Russian, Portuguese, and more.
Fine-tuning supported: No
Supported use cases: Search-heavy, document-heavy, and RAG scenarios (Example: searching for a hotel)
Command R+
Command R+ is Cohere's most powerful generative language model optimized for long-context tasks, such as retrieval-augmented generation (RAG) and multi-step tool use.
Max tokens: 128K
Languages: English, French, Spanish, Italian, German, Portuguese, Japanese, Korean, Arabic, and Chinese
Fine-tuning supported: No
Supported use cases: Text generation, text summarization, chat, knowledge assistants, Q&A, RAG.
Command R
Command R is Cohere's generative language model optimized for long-context tasks, such as retrieval-augmented generation (RAG) and tools, and large scale production workloads.
Max tokens: 128K
Languages: English, French, Spanish, Italian, German, Portuguese, Japanese, Korean, Arabic, and Chinese
Fine-tuning supported: No
Supported use cases: Text generation, text summarization, chat, knowledge assistants, Q&A, RAG.
Command
Command is Cohere’s generative large language model (LLM).
Max tokens: 4K
Languages: English
Fine-tuning supported: Yes
Supported use cases: Chat, text generation, text summarization.
Command Light
Command Light is a smaller version of Command, Cohere's generative LLM.
Max tokens: 4K
Languages: English
Fine-tuning supported: Yes
Supported use cases: Chat, text generation, text summarization.
Embed - English
Embed is Cohere's text representation, or embeddings, model.
This version supports English only.
Dimensions: 1024
Languages: English
Fine-tuning supported: No
Supported use cases: Semantic search, retrieval augmented generation (RAG), classification, clustering.
Embed - Multilingual
Embed is Cohere's text representation, or embeddings, model.
This version supports multiple languages.
Dimensions: 1024
Languages: Multilingual (100+ supported languages)
Fine-tuning supported: No
Supported use cases: Semantic search, retrieval-augmented generation (RAG), classification, clustering.