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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ChatMuse Spark 1.1
Muse Spark 1.1 is a multimodal reasoning model from Meta Superintelligence Labs, built for agentic workflows. It accepts text, images, video, audio, and PDF documents as input and returns text, with a 1,048,576-token context window. The model is designed to orchestrate multi-agent workflows, acting as either a main agent that plans and delegates tasks or as a subagent, and it generalizes zero-shot to new tools, MCP servers, and custom skills. It supports parallel function calling, structured output, built-in search with citations, and configurable reasoning effort, and Meta reports strong results on coding across large codebases, computer-use tasks, and visual-to-code generation. This is Meta's first model available through a paid API, priced at $1.25 per million input tokens and $4.25 per million output tokens, aimed at developers building agentic coding tools and enterprise workflow automation.
Frequently Asked Questions
Meta Llama 3.3 70B Instruct Turbo is no longer available through Puter.js. Explore other AI models for alternatives.
| 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 125K 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.
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