OpenAI: GPT-4o-mini
Fast. Affordable. Capable.
Run GPT-4o-mini Efficiently
Low Latency
128K Context Window
Process long documents or conversation history with 128k tokens input and 16k output.
Multimodal Input
Text and Vision
Handle text and image inputs for analysis, reasoning, and structured outputs via API.
Ultra Cheap
15¢ Per Million
Pay $0.15/M input and $0.60/M output tokens, 60% less than GPT-3.5 Turbo.
Examples
See what OpenAI: GPT-4o-mini 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 return fibonacci(n-1) + fibonacci(n-2)”
Math Solver
“Solve step-by-step: A train leaves at 60 mph, another at 70 mph from stations 200 miles apart. When do they meet?”
Document Summary
“Summarize key points from this 500-word article on quantum computing advancements, focusing on practical applications.”
Image Analysis
“Describe elements in this chart image and predict trends for next quarter sales data.”
For Developers
A few lines of code.
Chat completions. 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-mini on ModelsLab.