Foundation Model

Cohere Command

Cohere's enterprise LLM family, built for RAG and private deployment over consumer buzz.

Cohere skipped the consumer chatbot war entirely. Command, its enterprise model line, is led by Command A — a 256K-context model at $2.50 per million input tokens and $10 per million output — tuned for retrieval-grounded generation with citations, multilingual work, and tool use. The distinctive part is deployment: Cohere's cloud, your VPC, or fully on-prem, aimed at regulated buyers OpenAI and Anthropic serve less comfortably. Founded by a co-author of the original Transformer paper, Cohere now layers its North agent platform on top.

Best for

Enterprises building RAG applications and internal agents on private data — especially banks, telcos, and public-sector buyers whose compliance rules require VPC or on-prem model deployment.

Against OpenAI and Anthropic, Cohere competes on deployment terms, not raw capability: Command ships to your infrastructure, while GPT-5 and Claude largely live in their vendors' clouds. Against open-weight rivals like Llama or Mistral, it offers something self-hosting doesn't — a vendor contractually on the hook, with retrieval and citation behavior trained in rather than bolted on.

Core features

Model API

Command A leads the family with a 256K context window, tool use, and multilingual coverage at $2.50/$10 per million input/output tokens.

Retrieval workflows

Purpose-trained for RAG with grounded citations, paired with Cohere's Embed and Rerank models for the full retrieval pipeline.

Enterprise deployment

Runs in Cohere's cloud, your VPC, or air-gapped on-prem, with the North platform layering agent workflows on top for enterprise rollouts.

Pros

+ Deploys in your VPC or fully on-prem — a data-boundary option OpenAI and Anthropic only partially match
+ RAG behavior with inline citations is trained into Command rather than left to prompt engineering
+ Available through Cohere's API, the major clouds, and dedicated Model Vault instances under one model family

Watchouts

- A small developer community means fewer examples, integrations, and engineers who already know the stack
- No real self-serve product story: serious evaluation and deployment run through sales and solutions engineering

Power List links

People behind Cohere Command

Full list

Aidan Gomez@aidangomez

Pricing

usage based

Free trial keys · Command A $2.50/M input · $10/M output

Rate-limited trial API keys are free for non-commercial evaluation; production keys are pay-as-you-go. Command A runs $2.50/$10 per million input/output tokens, with older R-series models priced lower. Dedicated Model Vault instances start around $2,500/month; private deployments and the North platform are custom-priced through sales.

Full Cohere Command pricing breakdown →

Discovery tags

Enterprise Search Customer Support Data AnalysisModel LayerData LayerAgent Layer

Company context

Cohere sells privately deployable language models to banks, telcos, and governments — the anti-hyperscaler bet.

View Cohere

TECHi verdict

The case for Command starts with a question most vendors dodge: where does your data physically go? Cohere's answer — the model comes to you, VPC or on-prem, with a vendor still contractually accountable — is genuinely differentiated, and its retrieval-and-citation tuning fits the internal-knowledge workloads enterprises actually deploy first. The 84 reflects the tradeoff: you give up frontier-model headroom, accept a thin community, and bet on a vendor whose independence in a market of giants is an open question. Shortlist Command when data boundaries and multilingual RAG are hard requirements, especially in banking, telecom, or government; skip it when raw capability per dollar is the only metric that matters, because on that axis OpenAI, Anthropic, and Google outgun it.

Related in the directory

People

The people behind Cohere

Aidan GomezCo-founder and CEO, Cohere

Maker

Company

CohereCohere sells privately deployable language models to banks, telcos, and governments — the anti-hyperscaler bet.

Same category

Alternatives in the same category

Sources

Official product page

Alternatives

Claude

Anthropic's assistant for deep analysis, long documents, and serious coding work.

Strategic Product Influence — Editorial 93/100 · version not recorded

Score methodology

Gemini

Google's assistant woven into Gmail, Workspace, Android, and Search — and priced to bundle.

Strategic Product Influence — Editorial 90/100 · version not recorded

Score methodology

Le Chat

Europe's frontier-lab assistant — Mistral's models at $14.99, with an EU-jurisdiction story.

Strategic Product Influence — Editorial 84/100 · version not recorded

Score methodology

Frequently asked

What is Cohere Command?

Cohere's enterprise LLM family, built for RAG and private deployment over consumer buzz.

Who builds Cohere Command?

Cohere Command is built by Cohere.

How much does Cohere Command cost?

Cohere Command uses usage based. Current tiers: Free trial keys · Command A $2.50/M input · $10/M output. Check the official site before buying — AI pricing changes often.