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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)API Documentation

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.

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 
import requests


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

FAQ

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

Read the docs

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Try Meta: Llama 3.3 70B Instruct (free)API Documentation