LLM Reference
Cohere API

Command on Cohere API

Command · Cohere

Serverless

Last refreshed 2026-05-27. Next refresh: weekly.

Why use Command on Cohere API?

Cohere API offers Command with pay-as-you-go pricing at $1.00/1M input tokens. Cohere is a leading enterprise AI company that specializes in developing large language models (LLMs) and Retrieval-Augmented Generation (RAG) capabilities.

Compare Command across 4 providers to find the best fit for your use case
Input / 1M
$1.00
Output / 1M
$2.00
Cache
Not sourced
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: cohere-command
Model ID
cohere-command

Request example

Curated snippets for this provider are not sourced yet. Use Cohere API documentation with model ID cohere-command.

Gotchas

No curated gotchas have been sourced for this exact provider/model route yet.

Compare Command Across Providers

ProviderInput (per 1M)Output (per 1M)
AWS Bedrock$1.50$2.00
OCI Generative AI
Cohere API$1.00$2.00
Scale AI GenAI Platform

Pricing

TypePrice (per 1M)
Input tokens$1.00
Output tokens$2.00

Capabilities

Structured Outputs

About Command

Command is Cohere's legacy instruction-following conversational model. Cohere lists it as deprecated as of September 15, 2025; use current Command A or Command R variants for new builds.

FAQ

What does Command cost on Cohere API?

On Cohere API, Command costs $1.00 per 1M input tokens and $2.00 per 1M output tokens.

What is the context window for Command on Cohere API?

Command supports a 4,096 token context window on Cohere API.

How does Cohere API compare to other Command providers?

Command is available from 4 providers. The cheapest input pricing is $1.00/1M tokens from Cohere API.

Who created Command?

Command was created by Cohere as part of the Command model family.

Is Command open source?

Command is not open source; the seed data lists it as proprietary.

Get Started

Model Specs

Released2023-11-14
Context4K
ArchitectureDecoder Only
Knowledge cutoff2023-02

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