Llama 3.3 70B Instruct

Name: Meta: Llama 3.3 70B Instruct
Brand: Meta
Price: 196.37 DZD
Availability: InStock

by MetaReleased 6 December 2024

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.

TakesText

GivesText

Open in chat Create API key Compare

What it can do

From what its maker and two benchmark sites publish, and where it stands on OpenDunes. Read 7 Nov 2026.

Strongest at

Top 50 %CheapestAmong 424 Text models
Top 10 %Writes the fastestAmong 424 Text models
Top 20 %Starts the soonestAmong 424 Text models

Yes or no

Thinks first No.
Works through the problem before it answers.
Uses your tools
Can call functions your code provides.
Fills your JSON
Answers in the JSON shape you give it.
Searches the web No.
Can look things up online while it answers.
Cheaper on repeats
A prompt it saw a moment ago costs less the second time.
Open weights
The model's weights are public.
Knows events up to 31 Dec 2023
What it learned stops at this date.

Jobs it takes on

Answer customer emails in French and English
Turn a meeting transcript into an action list in JSON
Fills your JSON
Call your CRM to look up a customer
Uses your tools

What it costs

You pay for what each request uses. No subscription, no minimum.

≈ 0,33 DA per message3 000 DA buys about 9 100 messages

One message, the ordinary use

1 000 tokens sent× 196,37 DA per 1M0,20 DA

500 tokens back× 262,94 DA per 1M0,13 DA

Total≈ 0,33 DA

Every rate

Meter	↑ you send	↓ comes back
Text tokens	196,37 DA	262,94 DA
Cached tokens read	98,19 DA

per 1M tokens

Answer a quick question≈ 0,095 DA

Reply to a customer email≈ 0,22 DA

Write a one-page draft≈ 0,30 DA

Translate a full page of text≈ 0,35 DA

Summarise a 10-page report≈ 1,53 DA

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.

DepositDeposits from 50 DA, with Edahabia or CIB.

Where your request runs

Eight 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.

DeepInfra · TurboUnited States…

↑ Sent, per 1M

33,28 DA

↓ Back, per 1M

106,51 DA

Cache read

none

Latency

…

Throughput

…

AkashML…

↑ Sent, per 1M

66,57 DA

↓ Back, per 1M

173,07 DA

Cache read

33,28 DA

Latency

…

Throughput

…

Parasail…

↑ Sent, per 1M

73,22 DA

↓ Back, per 1M

166,42 DA

Cache read

36,61 DA

Latency

…

Throughput

…

Cloudflare…

↑ Sent, per 1M

97,52 DA

↓ Back, per 1M

749,88 DA

Cache read

none

Latency

…

Throughput

…

Groq…

↑ Sent, per 1M

196,37 DA

↓ Back, per 1M

262,94 DA

Cache read

98,19 DA

Latency

…

Throughput

…

SambaNova…

↑ Sent, per 1M

199,70 DA

↓ Back, per 1M

399,40 DA

Cache read

none

Latency

…

Throughput

…

CoreWeaveUnited States…

↑ Sent, per 1M

236,31 DA

↓ Back, per 1M

236,31 DA

Cache read

236,31 DA

Latency

…

Throughput

…

GoogleUnited States…

↑ Sent, per 1M

239,64 DA

↓ Back, per 1M

239,64 DA

Cache read

none

Latency

…

Throughput

…

Google…

↑ Sent, per 1M

239,64 DA

↓ Back, per 1M

239,64 DA

Cache read

none

Latency

…

Throughput

…

Provider	↑ Sent	↓ Back	Cache read	Latency	Throughput	Uptime
DeepInfra · TurboUnited States	33,28 DA	106,51 DA	none	…	…	…
AkashML	66,57 DA	173,07 DA	33,28 DA	…	…	…
Parasail	73,22 DA	166,42 DA	36,61 DA	…	…	…
Cloudflare	97,52 DA	749,88 DA	none	…	…	…
Groq	196,37 DA	262,94 DA	98,19 DA	…	…	…
SambaNova	199,70 DA	399,40 DA	none	…	…	…
CoreWeaveUnited States	236,31 DA	236,31 DA	236,31 DA	…	…	…
GoogleUnited States	239,64 DA	239,64 DA	none	…	…	…
Google	239,64 DA	239,64 DA	none	…	…	…

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.

Structured output

You send

Turn this customer email into JSON with intent, urgency and order_id.

customer-email.txt

It replied

{ "intent": "refund", "urgency": "high", "order_id": "OD-58421" }

Try in Chat Lab

Writing

You send

Two lines to welcome a shop in Oran.

It replied

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 Lab

Try your own request — same model, pre-selected.

Open Chat Lab

Call it in code

Swap the base URL and the key. Your OpenAI code runs unchanged.

POST /v1/chat/completions

Base URL

https://opendunes.com/v1

Model ID

meta-llama/llama-3.3-70b-instruct

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-3.3-70b-instruct",
    messages=[{"role": "user", "content": "Two lines to welcome a shop in Oran."}],
)

print(resp.choices[0].message.content)

pip install openaiFull reference for this route

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_logprobs

Structured output

Get JSON you can parse instead of prose.

response_formatstructured_outputs

Tools

Let the model call your functions.

toolstool_choice

Questions about Llama 3.3 70B Instruct

How much does Llama 3.3 70B Instruct cost in dinars?
About 0,33 DA per message. ↑ 196,37 DA · ↓ 262,94 DA per 1M tokens.
Is Llama 3.3 70B 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 3.3 70B Instruct best for?
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.
How do I pay for Llama 3.3 70B Instruct without an international card?
Deposit dinars with your Edahabia or CIB card. Every model, Llama 3.3 70B Instruct included, is paid from that balance. No foreign card, no conversion.
Does Llama 3.3 70B 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 25 000 words at once.
Is Llama 3.3 70B Instruct open source?
Yes, its weights are public. Open weights on Hugging Face
Who makes Llama 3.3 70B Instruct, and when was it released?
Meta. Released 6 December 2024. It knows the world up to 31 December 2023.

Other Meta models, priced in dinars

See all Meta models

Llama 3.1 8B InstructMeta · Jul 23, 2024

Llama 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.

Uses your tools130 pages at onceOpen weights

≈0,030 DAper message

View model

Llama 4 ScoutMeta · Apr 5, 2025

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.

Uses your tools1 300 pages at onceOpen weights

≈0,083 DAper message

View model

Llama 4 MaverickMeta · Apr 5, 2025

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.

Uses your tools520 pages at onceOpen weights

≈0,28 DAper message

View model

Llama Guard 4 12BMeta · Apr 30, 2025

Llama Guard 4 checks whether a request or a model's reply is safe. You send text, or text with pictures, and it answers in text: safe, or unsafe with the violated categories from a published list of hazards. Use it as a filter before a chat model sees a user message, and again on the reply. It sorts and does not chat or answer questions, so pair it with a chat model such as Llama 4 Scout.

160 pages at onceOpen weights

≈0,090 DAper message

View model

Llama 3.3 70B Instruct