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Available now on ModelsLab · Language Model

OpenAI: GPT-4o-miniFast. Affordable. Capable.

Try OpenAI: GPT-4o-miniAPI Documentation

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
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 OpenAI: GPT-4o-mini

Read the docs

OpenAI: GPT-4o-mini API is a fast endpoint for text and image inputs with text outputs. It supports chat completions and structured responses. Use it for cost-efficient tasks like coding or analysis.

Input costs $0.15 per million tokens, output $0.60 per million. This makes it cheaper than GPT-3.5 Turbo. Scale for high-volume apps without high costs.

Yes, it excels at fine-tuning from larger models like GPT-4o. Distill outputs for similar results at lower latency. Ideal for custom tasks.

It outperforms GPT-3.5 Turbo and rivals Claude 3 Haiku in speed and cost. Check ModelsLab for openai: gpt-4o-mini model access. Compare benchmarks like 82% MMLU.

Yes, it processes text and image inputs now. Future updates add video and audio. Use for multimodal reasoning tasks.

128k token context window matches GPT-4o. Output up to 16k tokens per request. Handles large codebases or histories.

Ready to create?

Start generating with OpenAI: GPT-4o-mini on ModelsLab.

Try OpenAI: GPT-4o-miniAPI Documentation