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Meta Llama: Meta Llama 3.3 70B Instruct Turbo

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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 125K

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

 

Code Example

Add AI to your app with the Puter.js AI API — no API keys or setup required.

// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms").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").then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

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Muse Spark 1.1

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Llama 4 Maverick

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Frequently Asked Questions

How do I use Meta Llama 3.3 70B Instruct Turbo?

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.

Is Meta Llama 3.3 70B Instruct Turbo free?

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.

What is the pricing for Meta Llama 3.3 70B Instruct Turbo?
Meta Llama 3.3 70B Instruct Turbo costs $1.04 per 1M input tokens and $1.04 per 1M output tokens.
Price per 1M tokens
Input$1.04
Output$1.04
Who created Meta Llama 3.3 70B Instruct Turbo?

Meta Llama 3.3 70B Instruct Turbo was created by Meta Llama and released on Dec 6, 2024.

What is the context window of Meta Llama 3.3 70B Instruct Turbo?

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.

What is the max output length of Meta Llama 3.3 70B Instruct Turbo?

Meta Llama 3.3 70B Instruct Turbo can generate up to 125K tokens in a single response.

What is the knowledge cutoff of Meta Llama 3.3 70B Instruct Turbo?

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.

What types of input can Meta Llama 3.3 70B Instruct Turbo process?

Meta Llama 3.3 70B Instruct Turbo accepts the following input types: text. It produces: text.

Does Meta Llama 3.3 70B Instruct Turbo support tool use (function calling)?

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.

Does it work with React / Vue / Vanilla JS / Node / etc.?

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.

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