Turn this customer email into JSON with intent, urgency and order_id.
customer-email.txtLlama 3.2 3B Instruct
by MetaReleased 25 September 2024
Llama 3.2 3B Instruct is a small multilingual text model from Meta, covering eight languages (English, Spanish and Hindi among them) and reading about 131 pages at once. It is tuned for following instructions, thinking things through and using tools. Use it for chat, summaries and light automated steps at small scale.
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 | 16,94 DA | 111,50 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
Two companies run this model. OpenDunes sends each request to one of them, picked by price and speed. If it fails, the next one takes it. DA per 1M tokens: ↑ what you send · ↓ what comes back.
You pay the price of the provider that served your request. Prices read 15:20 · 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="meta-llama/llama-3.2-3b-instruct",
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_kmin_pstopseedfrequency_penaltypresence_penaltyrepetition_penaltylogit_biaslogprobstop_logprobsStructured output
Get JSON you can parse instead of prose.
structured_outputsQuestions about Llama 3.2 3B Instruct
How much does Llama 3.2 3B Instruct cost in dinars?
About 0,073 DA per message. ↑ 16,94 DA · ↓ 111,50 DA per 1M tokens.
Is Llama 3.2 3B Instruct 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 Llama 3.2 3B Instruct best for?
Llama 3.2 3B Instruct is a small multilingual text model from Meta, covering eight languages (English, Spanish and Hindi among them) and reading about 131 pages at once. It is tuned for following instructions, thinking things through and using tools. Use it for chat, summaries and light automated steps at small scale.
Llama 3.2 3B Instruct or Llama 3.2 1B Instruct?
Llama 3.2 1B Instruct costs 0,031 DA less for the same message.
How do I pay for Llama 3.2 3B Instruct without an international card?
Deposit dinars with your Edahabia or CIB card. Every model, Llama 3.2 3B Instruct included, is paid from that balance. No foreign card, no conversion.
Does Llama 3.2 3B Instruct work in Arabic, French or Darja?
Meta supports 8 languages: English, German, French, Italian, Portuguese, Hindi, Spanish and Thai. Arabic and Darja are not named.
Can it read PDFs, images or a whole book?
It reads text. Up to 131K tokens in one request, about 130 pages. It writes up to 54 000 words at once.
Is Llama 3.2 3B Instruct open source?
Yes, its weights are public. Open weights on Hugging Face
Who makes Llama 3.2 3B Instruct, and when was it released?
Meta. Released 25 September 2024. It knows the world up to 31 December 2023.
Other Meta models, priced in dinars
See all Meta modelsLlama 3.1 8B Instruct is the small model of Meta's Llama 3.1 family, tuned to follow instructions and described as fast and efficient. You send text and get text back; it reads about 131 pages at once and can use tools or fill in an exact form you give it. Use it for sorting, short rewrites, simple chat and high-volume jobs.
Llama 3.3 70B Instruct is a text-only Meta model tuned for conversation in English, Spanish, French, German, Italian, Portuguese, Hindi and Thai. You send a chat, with tools or an exact form to fill in if you need them, and get a reply of up to about 16 pages from a conversation of up to 131 pages. Pick it for assistants and support in those languages.
Llama 4 Scout takes text and pictures and answers in text or code across 12 languages. It reads about 1,300 pages at once, enough to caption or question many images, or take in a very large document in one request. Meta tuned it for chat in many languages, captions and image understanding.
Llama 4 Maverick takes text and pictures and answers in text or code across 12 languages, keeping about a thousand pages of conversation in mind. Meta tuned it for reasoning about images and for assistant-style chat. Use it to answer questions about photos, charts and screenshots, or for multilingual assistants with long conversations.