---
title: "Llama 3.3 70B Instruct | AI Models | Inference.net"
description: "Run Llama 3.3 70B Instruct (Meta) on Inference.net. 131K context. tool-calling, structured outputs. Deploy with an OpenAI-compatible API and pay-per-token pricing."
url: "https://inference.net/models/llama-3.3-70b-instruct/"
---

Meta Text Generation Model

# Llama 3.3 70B Instruct

Meta's 70B instruction-tuned Llama: near-405B quality at 70B cost, with tool calling and structured outputs on a 128K context. A proven open-weight default for chat and agentic workflows that don't need reasoning traces.

[Get Started](https://inference.net/signin/) [Documentation](https://docs.inference.net)

Model details

Developed by Meta

Size 70B parameters

Context window 128K tokens

Max output 125K tokens

Model API pricing Per 1M tokens

Input $0.13

Output $0.40

[See all pricing](https://inference.net/pricing/)

```
import OpenAI from "openai";

const openai = new OpenAI({
  baseURL: "https://api.inference.net/v1",
  apiKey: "<YOUR_API_KEY>",
});

const completion = await openai.chat.completions.create({
  model: "llama-3.3-70b-instruct",
  messages: [
    {
      role: "user",
      content: "What is the meaning of life?"
    }
  ],
  stream: true,
});

for await (const chunk of completion) {
  process.stdout.write(chunk.choices[0]?.delta.content as string);
}
```

Readme

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## Start building with Llama 3.3 70B Instruct today

Serverless, OpenAI-compatible, and billed per token. No commitments.

[Get Started](https://inference.net/signin/) [Read the docs](https://docs.inference.net)