Turn this customer email into JSON with intent, urgency and order_id.
customer-email.txtCommand R+ (08-2024)
by CohereReleased 30 August 2024
Command R+ (08-2024) answers from documents you supply and uses several connected tools in a row, keeping about 128 pages in mind and replying up to about 4 pages. Cohere reports about 50% more work done in the same time and 25% faster replies than the earlier R+ on the same hardware.
What it costs
You pay for what each request uses. No subscription, no minimum.
One message, the ordinary use
Every rate
| Meter | ↑ you send | ↓ comes back |
|---|---|---|
| Text tokens | 832,09 DA | 3 328,36 DA |
per 1M tokens
- When you pay
- After the answer, from your balance. Nothing is held.
- Why it varies
- A longer question or a longer answer costs more.
- After each one
- The exact charge shows on the request.
Where your request runs
One company runs this model. OpenDunes sends every request to it. DA per 1M tokens: ↑ what you send · ↓ what comes back.
You pay the price of the provider that served your request. Prices read 15:19 · speed over the last 30 minutes · uptime over 3 days.
See it in action
Real requests, real replies. Try any of them yourself — one click, pre-filled.
Two lines to welcome a shop in Oran.
Welcome to our new shop in Oran — fresh bread every morning, and coffee the way the city likes it. Come in, the first cup is on us.
Try in Chat LabTry your own request — same model, pre-selected.
Open Chat LabCall it in code
Swap the base URL and the key. Your OpenAI code runs unchanged.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://opendunes.com/v1",
api_key=os.environ["OPENDUNES_API_KEY"],
)
resp = client.chat.completions.create(
model="cohere/command-r-plus-08-2024",
messages=[{"role": "user", "content": "Two lines to welcome a shop in Oran."}],
)
print(resp.choices[0].message.content)Runs this request once on your balance.
Parameters you can send
Standard OpenAI fields, grouped by what they control. Anything not listed is accepted and ignored.
Shaping the reply
How long, how varied, where to stop.
max_tokenstemperaturetop_ptop_kstopseedfrequency_penaltypresence_penaltyStructured output
Get JSON you can parse instead of prose.
response_formatstructured_outputsTools
Let the model call your functions.
toolstool_choiceQuestions about Command R+ (08-2024)
How much does Command R+ (08-2024) cost in dinars?
About 2,50 DA per message. ↑ 832,09 DA · ↓ 3 328,36 DA per 1M tokens.
Is Command R+ (08-2024) free? Can I try it?
No. You pay per use from your balance, with no subscription. Try it in Chat at the same price.
What is Command R+ (08-2024) best for?
Command R+ (08-2024) answers from documents you supply and uses several connected tools in a row, keeping about 128 pages in mind and replying up to about 4 pages. Cohere reports about 50% more work done in the same time and 25% faster replies than the earlier R+ on the same hardware.
Command R+ (08-2024) or Command R (08-2024)?
Command R (08-2024) costs 2,35 DA less for the same message.
How do I pay for Command R+ (08-2024) without an international card?
Deposit dinars with your Edahabia or CIB card. Every model, Command R+ (08-2024) included, is paid from that balance. No foreign card, no conversion.
Does Command R+ (08-2024) work in Arabic, French or Darja?
Cohere says it is optimised for English, French, Spanish, Italian, German, Brazilian Portuguese, Japanese, Korean, Simplified Chinese and Arabic, with 13 more in pre-training. Darja is not named.
Can it read PDFs, images or a whole book?
It reads text. Up to 128K tokens in one request, about 120 pages. It writes up to 3 000 words at once.
Is Command R+ (08-2024) open source?
No. Cohere has not published its weights.
Who makes Command R+ (08-2024), and when was it released?
Cohere. Released 30 August 2024. It knows the world up to 31 March 2024.
Other Cohere models, priced in dinars
See all Cohere modelsRerank 4 Fast takes a search question and a list of candidate documents and returns them ordered by relevance, reading up to about 32 pages per document, question included, in more than 100 languages. It is the lighter of the two Rerank 4 models, suited to quick replies and heavy traffic, so use it where many searches arrive at once.
You send Rerank 4 Pro a search question and a list of candidate documents, and it returns them ordered by relevance. Each document, question included, can run to about 32 pages, in more than 100 languages, and data records are accepted alongside text. Use it as a second pass after a keyword search or a search by meaning, for hard questions and long documents where result quality counts most. Rerank 4 Fast is the lighter version for quick replies; Rerank v3.5 reads only about 4 pages per document.
Cohere's earlier reranker, from before Rerank 4, reordering semantic or keyword search results by relevance and handling multi-aspect and semi-structured data across more than 100 languages
This model accepts text and pictures as input to generate numerical representations of the content. It can process up to 120 pages of material simultaneously. Its design focuses on being a fast and economical option for content representation tasks. The model is limited to processing and outputting these representations and cannot perform tasks requiring complex reasoning or generating new written material.