Cohere Command R+

Command R+ is Cohere's enterprise large language model, tuned for retrieval-augmented generation with inline citations and for multi-step tool use rather than open-ended chat. It takes a 128,000-token context, covers ten business languages, and can run on Cohere's API, on AWS Bedrock and Azure, or privately inside a customer's own VPC or data centre.

Command R+ is Cohere's 104-billion-parameter enterprise language model, released in April 2024 and refreshed as command-r-plus-08-2024, built specifically for retrieval-augmented generation and multi-step tool use rather than general chat. It accepts a 128,000-token context window and, given a list of supplied document snippets, returns answers with inline citations pointing back at the source passage — the mechanism Cohere sells as hallucination control to regulated buyers who have to show where an answer came from. It was trained with multi-step tool use, so it can chain tool calls and feed each result into the next, which is what makes it usable as an agent backbone rather than just a summariser. It is optimised for ten languages — English, French, Spanish, Italian, German, Brazilian Portuguese, Japanese, Korean, Arabic and Simplified Chinese — with pre-training coverage of thirteen more, and the August 2024 refresh delivered roughly 50% higher throughput and 25% lower latency than the April build. Access is unusually broad for a model at this tier: Cohere's own API at $2.50 per million input and $10 per million output tokens (the older 04-2024 build was $3/$15), Amazon Bedrock in us-east-1 and us-west-2, Microsoft Azure, a dedicated Model Vault instance, or a fully private deployment inside a customer's VPC or on-premises — the last of which is where the bulk of Cohere's enterprise revenue sits, and the main reason buyers pick it over a pure API vendor. Open weights are published on Hugging Face under a CC-BY-NC licence, so they can be evaluated and researched but not run commercially without a Cohere agreement. Buyers should know the line has moved: the command-r-plus alias (the 04-2024 build) was deprecated on 15 September 2025, command-r-plus-08-2024 remains available, and Cohere now directs new work to Command A (command-a-03-2025) as its strongest model.

Category

AI Models & APIs

Pricing

Usage-based, Contact for pricing, Freemium

Target Market

CIOs, CTOs, Enterprise Developers, Data Scientists, Heads of AI Platform

Deployment

API-based, Multi-cloud, Hybrid, Self-hosted

Founded

2019

Headquarters

Toronto, Canada

Team Size

201-500

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  Grounded generation with inline citations

  Answers built from supplied document snippets carry citations to the exact source passage, making output auditable for regulated review.

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  128K-token context window

  Holds long contracts, filings or full retrieval result sets in a single prompt without aggressive chunking and re-ranking.

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  Multi-step tool use

  Chains sequential tool calls and reasons over each intermediate result, which is what allows simple agents to be built on the model.

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  Ten-language optimisation

  Tuned for ten business languages with pre-training in thirteen more, so one model serves multi-region support and knowledge workloads.

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  Private and on-premises deployment

  The same model can be run inside a customer VPC or data centre for full data sovereignty, not only as a hosted API.

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  Multi-cloud availability

  Reachable through Amazon Bedrock and Microsoft Azure as well as Cohere's own API, so procurement can buy through an existing cloud contract.

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  Open weights for evaluation

  104B-parameter weights are published on Hugging Face under CC-BY-NC, letting teams benchmark the real model before committing commercially.

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  Cited internal knowledge assistant

  Answer employee questions over policy, contract and product documentation with citations, so compliance can trace each statement to a source.

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  Regulated document analysis

  Summarise and compare long filings or agreements inside a bank's own VPC, where sending the corpus to a public API is not permitted.

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  Multi-step internal tool agents

  Let the model call ticketing, CRM and search APIs in sequence, using each result to decide the next call in the chain.

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  Multilingual customer support drafting

  Draft grounded replies in ten business languages from the same retrieval corpus, keeping one model across regional support teams.

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  Bedrock-native RAG pipelines

  Run grounded generation through Amazon Bedrock so the workload is billed and governed under an existing AWS agreement.

Public API pricing is per token and published: command-r-plus-08-2024 costs $2.50 per million input tokens and $10.00 per million output tokens, while the deprecated 04-2024 build was $3.00/$15.00 — roughly Claude-3.5-Sonnet-class pricing, and an order of magnitude above Cohere's smaller Command R at $0.50/$1.50. Trial API keys are free but rate-limited and explicitly barred from commercial use; production keys bill month-end or when the balance reaches $250. Dedicated Model Vault instances are quoted hourly or monthly, and private or on-premises deployment — which is what most of Cohere's large enterprise customers actually buy — carries no list price and goes through sales.

This page was written from 9 sources, 7 on domains other than docs.cohere.com.

1. 1.docs.cohere.com — command r plusvendor
2. 2.docs.cohere.com — deprecationsvendor
3. 3.cohere.com — pricing
4. 4.cohere.com — deployment options
5. 5.huggingface.co — c4ai command r plus
6. 6.aws.amazon.com — cohere command r r plus amazon bedrock
7. 7.the-decoder.com — cohere improves its rag optimized command series llms
8. 8.betakit.com — coheres valuation hits 7 billion usd following 100 million r
9. 9.hn.algolia.com — hn.algolia.com