OpenAI: GPT-4o
OpenAI: GPT-4o Power
Deploy GPT-4o Capabilities
Native Multimodal
Text Audio Vision
Processes text, images, audio in one model for real-time responses.
Ultra Fast
320ms Latency
Matches human response time at 320ms average for voice and text.
128k Context
Long Conversations
Handles 128k tokens with memory for coherent extended interactions.
Examples
See what OpenAI: GPT-4o can create
Copy any prompt below and try it yourself in the playground.
Code Review
“Review this Python function for bugs and optimize for performance: def fibonacci(n): if n <= 1: return n else: return fibonacci(n-1) + fibonacci(n-2)”
Data Analysis
“Analyze this sales dataset CSV and generate insights on trends: [upload fictional CSV with columns date, product, sales]. Suggest improvements.”
Text Summary
“Summarize this article on quantum computing advancements in 200 words, highlighting key breakthroughs and implications.”
Math Solver
“Solve the equation 3x^2 + 5x - 2 = 0 step by step, explain roots and graph it.”
For Developers
A few lines of code.
GPT-4o. 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
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 on ModelsLab.