Meta Llama: Meta Llama 3.3 70B Instruct Turbo
meta-llama/llama-3.3-70b-instruct-turbo
Access Meta Llama 3.3 70B Instruct Turbo from Meta Llama using Puter.js AI API.
Get Started// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "meta-llama/llama-3.3-70b-instruct-turbo"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "meta-llama/llama-3.3-70b-instruct-turbo"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://api.puter.com/puterai/openai/v1/",
api_key="YOUR_PUTER_AUTH_TOKEN",
)
response = client.chat.completions.create(
model="meta-llama/llama-3.3-70b-instruct-turbo",
messages=[
{"role": "user", "content": "Explain quantum computing in simple terms"}
],
)
print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
-d '{
"model": "meta-llama/llama-3.3-70b-instruct-turbo",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Llama 3.3 70B Instruct Turbo is a 70-billion-parameter, instruction-tuned text model from Meta, served on Together AI's throughput-optimized Turbo endpoint.
It is known for delivering quality close to the much larger Llama 3.1 405B at a fraction of the cost, especially on instruction following and reasoning. Published benchmarks include IFEval 92.1%, MMLU 86.0%, HumanEval 88.4%, MGSM 91.1%, MATH 77.0%, and GPQA Diamond 50.5%. On IFEval it edges out Llama 3.1 405B (88.6) and approaches Claude 3.5 Sonnet (89.3).
With a 128K context window and tool/function calling support, it suits developers building chat assistants, multilingual apps, coding helpers, and agentic workflows that want strong open-weight performance at a low price.
Context Window 131K
tokens
Max Output 131K
tokens
Input Cost $1.04
per million tokens
Output Cost $1.04
per million tokens
Input text
modalities
Tool Use Yes
Knowledge Cutoff Dec 2023
Release Date Dec 6, 2024
Model Playground
Try Meta Llama 3.3 70B Instruct Turbo instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
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Frequently Asked Questions
You can access Meta Llama 3.3 70B Instruct Turbo by Meta Llama through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Meta Llama 3.3 70B Instruct Turbo to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $1.04 |
| Output | $1.04 |
Meta Llama 3.3 70B Instruct Turbo was created by Meta Llama and released on Dec 6, 2024.
Meta Llama 3.3 70B Instruct Turbo supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.
Meta Llama 3.3 70B Instruct Turbo can generate up to 131K tokens in a single response.
Meta Llama 3.3 70B Instruct Turbo has a knowledge cutoff date of Dec 2023. This means the model was trained on data available up to that date.
Meta Llama 3.3 70B Instruct Turbo accepts the following input types: text. It produces: text.
Yes, Meta Llama 3.3 70B Instruct Turbo supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the Meta Llama 3.3 70B Instruct Turbo API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Get started with Puter.js
Add Meta Llama 3.3 70B Instruct Turbo to your app without worrying about API keys or setup.
Read the Docs View Tutorials