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Cohere: Command R7B (12-2024): AI model

Command R7B (12-2024) is Cohere's small, fast model for RAG, tool use and agents, with a 128K context window at a very low cost. Served from inside Iran through Hormouz.

Context window:
128,000 tokens
Input:
$0.04/1M tokens
Output:
$0.15/1M tokens
Type:
text
  • Streaming
  • Long context

Command R7B (12-2024) is a small, fast model in Cohere's Command family, released in December 2024. Despite its size it excels at retrieval-augmented generation, tool use and agent tasks that require multi-step reasoning.

It supports a 128K-token context window and structured output, and its low cost per token makes it a strong default for high-volume RAG, classification and lightweight agents. It is a text-only model focused on efficiency rather than the peak quality of the larger Command models.

On Hormouz, Command R7B is served behind an OpenAI-compatible API and reachable from inside Iran without a foreign credit card. Billing is usage-based at $0.0375 per million input tokens and $0.15 per million output tokens. Among the cheapest options for RAG-heavy work.

Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning...

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-r7b-12-2024",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorCohere
TypeText
Context window128,000 tokens
Pricing$0.04/M in · $0.15/M out
APIChat Completions
CapabilitiesStreaming

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-r7b-12-2024",
    "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-r7b-12-2024",
    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-r7b-12-2024",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Buy the Cohere: Command R7B (12-2024) API, paid in rial

  • Buy credit with an Iranian bank card; no foreign card or account needed.
  • One Hormouz key reaches Cohere: Command R7B (12-2024) 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.
Create an account

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FAQ

How much does Command R7B (12-2024) cost?
Billing is usage-based: $0.0375 per million input tokens and $0.15 per million output tokens. There is no monthly minimum. You pay only for the tokens you actually use.
How do I access Command R7B (12-2024) from inside Iran?
Create a Hormouz account, generate an API key and point your client at Hormouz. Access to Command R7B (12-2024) is served from inside Iran, so you do not need a foreign credit card, a VPN or any sanction-circumvention tooling.
Is Command R7B (12-2024) 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 R7B (12-2024) support?
Command R7B (12-2024) supports a context window of up to 128K tokens, which is enough for long documents and extended conversations in a single request.
When should I choose Command R7B over the larger Command models?
Choose R7B when cost and speed matter most. High-volume RAG, classification and lightweight agents. Step up to Command R, R+ or Command A when you need higher quality on complex, multilingual or business-critical tasks.

Updated 2026-10-13