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
| Vendor | Cohere |
|---|---|
| Type | Text |
| Context window | 128,000 tokens |
| Pricing | $0.15/M in · $0.60/M out |
| API | Chat Completions |
| Capabilities | Streaming · Tools |
Code example
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!"}]
}'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)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.
Use via Hormouz
Connect to this model and 600+ others with one API key, then see usage down to each request.
Request company accessFAQ
- 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