OpenAI: GPT-4o (2024-08-06)
Structured Outputs Now
Deploy GPT-4o Capabilities
JSON Schema
Guaranteed Structured Outputs
Supply JSON schema for exact model outputs in OpenAI: GPT-4o (2024-08-06) API.
128k Context
Extended Token Window
Handle long inputs with 128,000 token context in OpenAI: GPT-4o (2024-08-06) model.
Multimodal Input
Text Vision Audio
Process text, images, audio via OpenAI: GPT-4o (2024-08-06) LLM.
Examples
See what OpenAI: GPT-4o (2024-08-06) can create
Copy any prompt below and try it yourself in the playground.
Code Review
“Review this Python function for bugs and suggest optimizations: def fibonacci(n): if n <= 1: return n else: return fibonacci(n-1) + fibonacci(n-2)”
JSON Data Extract
“Extract product details into this JSON schema from text: {'name': 'string', 'price': 'number', 'features': ['string']}. Text: Apple iPhone 15, $799, camera, battery, display.”
Tech Summary
“Summarize quantum computing advances in 2024, structured as {'breakthroughs': ['string'], 'implications': 'string'}.”
API Design
“Design REST API endpoints for task management app, output as JSON array of objects with method, path, description.”
For Developers
A few lines of code.
Structured JSON. One 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
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
Ready to create?
Start generating with OpenAI: GPT-4o (2024-08-06) on ModelsLab.