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Cohere: Command R (08-2024): AI model

Command R (08-2024) is Cohere's updated model for multilingual RAG and tool use, with a 128K context window. Served from inside Iran through Hormouz.

Context window:
128,000 tokens
Input:
$0.15/1M tokens
Output:
$0.6/1M tokens
Type:
text
  • Tools
  • Streaming
  • Long context

Command R (08-2024) is an updated release of Cohere's Command R with improved multilingual retrieval-augmented generation (RAG) and tool use. It is also stronger at math, code and reasoning, and is competitive with the earlier, larger Command R+.

It supports a 128K-token context window and tool calling, which makes it a practical choice for grounded question answering over your own documents, multilingual assistants and agent-style workflows that need to call external functions. It is a text-only model with structured-output support.

On Hormouz, Command R is served behind an OpenAI-compatible API and reachable from inside Iran without a foreign card. Billing is usage-based at $0.15 per million input tokens and $0.60 per million output tokens, which keeps RAG-heavy workloads affordable.

command-r-08-2024 is an update of the Command R with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and...

Quickstart

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "cohere/command-r-08-2024",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorCohere
TypeText
Context window128,000 tokens
Pricing$0.15/M in · $0.60/M out
APIChat Completions
CapabilitiesStreaming · Tools

Code example

cURL
curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "cohere/command-r-08-2024",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'
Python
from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
response = client.chat.completions.create(
    model="cohere/command-r-08-2024",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
JavaScript
import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const response = await client.chat.completions.create({
  model: "cohere/command-r-08-2024",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Buy the Cohere: Command R (08-2024) API, paid in rial

  • Buy credit with an Iranian bank card; no foreign card or account needed.
  • One Hormouz key reaches Cohere: Command R (08-2024) and 600+ other models, and you pay only for what you use.
  • No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
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FAQ

How much does Command R (08-2024) cost?
Billing is usage-based: $0.15 per million input tokens and $0.6 per million output tokens. There is no monthly minimum. You pay only for the tokens you actually use.
How do I access Command R (08-2024) from inside Iran?
Create a Hormouz account, generate an API key and point your client at Hormouz. Access to Command R (08-2024) is served from inside Iran, so you do not need a foreign credit card, a VPN or any sanction-circumvention tooling.
Is Command R (08-2024) compatible with the OpenAI SDK?
Yes. Hormouz exposes an OpenAI-compatible chat-completions API. Change the base URL to Hormouz and drop in your Hormouz key, and existing OpenAI SDK code runs unchanged.
What context window does Command R (08-2024) support?
Command R (08-2024) supports a context window of up to 128K tokens, which is enough for long documents and extended conversations in a single request.
Is Command R (08-2024) good for RAG?
Yes. This update specifically improved multilingual retrieval-augmented generation and tool use. Combined with its 128K context window, it is well suited to grounded question answering over your own document sets.
Does Command R (08-2024) support tool calling?
Yes. It supports tool/function calling and structured output, so you can build agent-style workflows that call external functions and return typed results.

Updated 2026-10-13