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Available now on ModelsLab · Language Model

OpenAI: GPT-5.4 MiniFast. Capable. Efficient.

Try OpenAI: GPT-5.4 MiniAPI Documentation

Speed Meets Performance

2x Faster

Sub-second Response Times

Twice as fast as GPT-5 mini for real-time coding assistants and agentic workflows.

Multimodal Ready

Text and Image Inputs

Process images and text together for computer use, visual reasoning, and code review tasks.

Built for Scale

400k Context Window

Handle long documents, complex codebases, and multi-step agent tasks without truncation.

Examples

See what OpenAI: GPT-5.4 Mini can create

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

Code Generation

“Write a Python function that validates email addresses using regex, includes error handling, and returns a boolean. Add docstring and unit test examples.”

Data Extraction

“Extract structured data from this invoice: company name, invoice number, total amount, line items with quantities and prices. Return as JSON.”

Technical Documentation

“Generate API documentation for a REST endpoint that accepts POST requests with user data. Include request schema, response examples, and error codes.”

Code Review

“Review this JavaScript function for performance issues, security vulnerabilities, and best practices. Suggest specific improvements with explanations.”

For Developers

A few lines of code.
Fast inference. Production ready.

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-5.4 Mini

Read the docs

GPT-5.4 Mini is OpenAI's fastest small LLM, delivering 2x faster responses than its predecessor while maintaining near-flagship performance on coding and reasoning tasks. It's optimized for high-volume workloads, agentic systems, and real-time applications where speed matters.

GPT-5.4 Mini excels at coding assistance, computer use automation, tool calling, real-time image reasoning, code reviews, data extraction, and spawning multiple sub-agents. It's ideal when you need sub-second responses without sacrificing capability.

Pricing is $0.75 per 1M input tokens and $4.50 per 1M output tokens. Cached input tokens cost $0.075 per 1M, reducing costs for repeated context. Regional data residency endpoints incur a 10% uplift.

GPT-5.4 Mini supports text and image inputs, tool use, function calling, web search, file search, computer use, and skills. It includes a 400k context window and up to 128k max output tokens.

Yes. GPT-5.4 Mini approaches full GPT-5.4 performance on complex benchmarks like SWE-Bench Pro while delivering 2x faster inference, making it production-ready for coding, agents, and real-time workflows at scale.

GPT-5.4 Mini is more capable and faster, ideal for coding and complex tasks. GPT-5.4 Nano is the smallest and cheapest option, best for classification, data extraction, and lightweight tasks where performance requirements are lower.

Ready to create?

Start generating with OpenAI: GPT-5.4 Mini on ModelsLab.

Try OpenAI: GPT-5.4 MiniAPI Documentation