---
title: Llama 3.3 70B Instruct — Advanced LLM | ModelsLab
description: Access Meta: Llama 3.3 70B Instruct API for superior reasoning, coding, and multilingual tasks. Generate precise responses via simple LLM endpoint.
url: https://modelslab.com/meta-llama-33-70b-instruct
canonical: https://modelslab.com/meta-llama-33-70b-instruct
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T02:02:47.136988Z
---

Available now on ModelsLab · Language Model

Meta: Llama 3.3 70B Instruct
Reason Smarter. Scale Efficiently
---

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

Unlock Llama 3.3 Power
---

70B Parameters

### Outperforms Larger Models

Meta: Llama 3.3 70B Instruct matches Llama 3.1 405B on reasoning and coding with lower compute needs.

128K Context

### Handles Long Inputs

Supports 128,000 token context for extended dialogues and complex instruction chains.

Multilingual Support

### Excels Instruction Following

Meta: Llama 3.3 70B Instruct API delivers top scores in coding, math, and tool use across languages.

Examples

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

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

Code Debugger

“Debug this Python function that calculates Fibonacci numbers inefficiently. Provide optimized version with explanations and test cases.”

Reasoning Chain

“Solve: A bat and ball cost $1.10 total. Bat costs $1 more than ball. How much is the ball? Explain step-by-step.”

JSON Function Call

“Generate weather query JSON for function call: city=London, units=metric. Include error handling.”

Multilingual Translation

“Translate this technical doc excerpt from English to Spanish and German, preserving code snippets and terminology.”

For Developers

A few lines of code.
Instruct model. One API call.
---

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
---

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

### What is Meta: Llama 3.3 70B Instruct?

### How does meta llama 3.3 70b instruct compare to Llama 3.1 405B?

### What context length supports Meta: Llama 3.3 70B Instruct API?

### Is meta llama 3.3 70b instruct api multilingual?

### What are key strengths of Meta: Llama 3.3 70B Instruct alternative?

### How to access meta llama 3.3 70b instruct api?

Ready to create?
---

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

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

---

*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)

---
*Generated by ModelsLab - 2026-04-15*