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Available now on ModelsLab · Language Model

OpenAI: GPT-4o-mini (2024-07-18)Fast. Affordable. Intelligent.

Try OpenAI: GPT-4o-mini (2024-07-18)API Documentation

Built For Scale And Speed

Cost Efficient

60% Cheaper Than GPT-3.5

Process millions of tokens at $0.15 input, $0.60 output pricing.

Multimodal Ready

Text And Vision Support

Accept text and image inputs, generate text outputs with structured formatting.

Enterprise Scale

128K Context Window

Handle full codebases, long conversations, and complex document analysis.

Examples

See what OpenAI: GPT-4o-mini (2024-07-18) can create

Copy any prompt below and try it yourself in the playground.

Customer Intent Classification

“Analyze this customer support message and classify the intent as billing, technical, account, or other: 'I've been charged twice this month and can't access my dashboard.'”

Code Documentation

“Generate concise API documentation for this Python function with parameters, return type, and usage example.”

Multi-Language Translation

“Translate this product description to Spanish, French, and German while maintaining brand tone.”

Structured Data Extraction

“Extract all product names, prices, and availability status from this e-commerce page HTML as JSON.”

For Developers

A few lines of code.
Intelligent API. Three lines.

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 (2024-07-18)

Read the docs

GPT-4o Mini is OpenAI's compact, cost-efficient variant designed for focused tasks. It maintains strong performance on text and vision while being 60% cheaper than GPT-3.5 Turbo and significantly faster than larger models.

The model supports a 128K token context window with up to 16K tokens of output per request. This enables processing of full codebases, extended conversations, and detailed document analysis.

Yes. GPT-4o Mini supports function calling for external API integration, prompt caching for efficiency, and structured outputs for reliable JSON formatting.

Currently, GPT-4o Mini accepts text and image inputs and produces text outputs. Future support for audio and video inputs/outputs is planned.

Yes. GPT-4o Mini is ideal for fine-tuning on custom datasets. You can also distill outputs from larger models like GPT-4o into GPT-4o Mini to achieve similar results at lower cost and latency.

GPT-4o Mini excels at intent classification, keyword extraction, translation, tag generation, customer support chatbots, and applications requiring multiple parallel API calls or high-volume context processing.

Ready to create?

Start generating with OpenAI: GPT-4o-mini (2024-07-18) on ModelsLab.

Try OpenAI: GPT-4o-mini (2024-07-18)API Documentation