---
title: Llama 3.3 70B Instruct — Free LLM | ModelsLab
description: Access Meta: Llama 3.3 70B Instruct (free) API for multilingual dialogue and instruction tasks. Generate precise responses with 128k context now.
url: https://modelslab.com/meta-llama-33-70b-instruct-free
canonical: https://modelslab.com/meta-llama-33-70b-instruct-free
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T02:04:58.688776Z
---

Available now on ModelsLab · Language Model

Meta: Llama 3.3 70B Instruct (free)
Free Llama 3.3 Power
---

[Try Meta: Llama 3.3 70B Instruct (free)](/models/open_router/meta-llama-llama-3.3-70b-instruct-free) [API Documentation](https://docs.modelslab.com)

Run Llama 3.3 Free
---

70B Parameters

### Matches 405B Performance

Meta: Llama 3.3 70B Instruct (free) rivals Llama 3.1 405B on reasoning and coding with lower compute.

128k Context

### Multilingual Dialogue

Handles complex prompts in multiple languages for chat and instruction tasks via meta llama 3.3 70b instruct free API.

Function Calling

### Instruction Tuned

Supports flexible function calls and JSON mode in Meta: Llama 3.3 70B Instruct (free) model.

Examples

See what Meta: Llama 3.3 70B Instruct (free) can create
---

Copy any prompt below and try it yourself in the [playground](/models/open_router/meta-llama-llama-3.3-70b-instruct-free).

Code Debug

“Debug this Python function that calculates Fibonacci numbers recursively, optimize for speed, and explain changes step by step.”

Math Proof

“Prove that the sum of the first n odd numbers equals n squared, provide formal steps and examples for n=1 to 5.”

JSON Summary

“Summarize key events from 2024 tech news in strict JSON format with categories: AI, hardware, software releases.”

Reason Chain

“Explain why transformer models excel at long-context tasks, break down attention mechanisms with simple analogies.”

For Developers

A few lines of code.
Instruct model. Free API.
---

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

- **Serverless:** scales to zero, scales to millions
- **Pay per token,** no minimums
- **Python and JavaScript SDKs,** plus REST API

[API Documentation ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())</code>
```

FAQ

Common questions about Meta: Llama 3.3 70B Instruct (free)
---

[Read the docs ](https://docs.modelslab.com)

### What is Meta: Llama 3.3 70B Instruct (free)?

### How to use meta llama 3.3 70b instruct free API?

### Is Meta: Llama 3.3 70B Instruct (free) model multilingual?

### What context length for Meta: Llama 3.3 70B Instruct (free) API?

### Best Meta: Llama 3.3 70B Instruct (free) alternative?

### Does meta llama 3.3 70b instruct free support functions?

Ready to create?
---

Start generating with Meta: Llama 3.3 70B Instruct (free) on ModelsLab.

[Try Meta: Llama 3.3 70B Instruct (free)](/models/open_router/meta-llama-llama-3.3-70b-instruct-free) [API Documentation](https://docs.modelslab.com)

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*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-04-15*