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Available now on ModelsLab · Language Model

GPT-5-miniFrontier reasoning. Half latency.

Try GPT-5-miniAPI Documentation
GPT-5-mini

Speed meets intelligence. Deploy smarter.

2x Faster

Near-frontier performance

Delivers expert-level reasoning with 50-80% fewer thinking tokens than previous generations.

Native multimodal

Text and image inputs

Process documents, charts, and diagrams simultaneously without auxiliary vision components.

Cost optimized

High-volume, low-latency

Built for production workloads with 400K context window and dynamic reasoning calibration.

Examples

See what GPT-5-mini can create

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

Code generation

“Write a TypeScript function that validates email addresses using regex, includes error handling, and returns detailed validation results with suggestions for invalid formats.”

Document analysis

“Analyze this financial report screenshot and extract key metrics: revenue, profit margin, year-over-year growth, and provide a brief assessment of financial health.”

Multi-step reasoning

“Break down the process of deploying a machine learning model to production, including data validation, model versioning, monitoring setup, and rollback procedures.”

Long-form summarization

“Summarize a 50-page technical whitepaper on distributed systems, highlighting architecture decisions, trade-offs, and implementation recommendations.”

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 GPT-5-mini

Read the docs

GPT-5-mini is optimized for cost-sensitive, high-volume workloads with sparse attention mechanisms and dynamic reasoning routing. It's twice as fast while maintaining near-frontier performance for well-defined tasks.

Yes. GPT-5-mini supports native multimodal understanding with text and image inputs, enabling document analysis, visual question answering, and code generation from diagrams without auxiliary components.

GPT-5-mini offers a 400K token input limit and 128K token output limit, supporting extended sessions and long-form content generation with persistent state management.

The reasoning_effort parameter lets you calibrate the trade-off between speed and reasoning depth per API call. Choose minimal, low, medium, or high reasoning levels based on task complexity.

Yes. GPT-5-mini is purpose-built for production workloads with reduced hallucinations, improved instruction following, and reliable multi-step task execution across agentic workflows and interactive interfaces.

GPT-5-mini balances accuracy and cost better than nano models while offering 2x faster inference than full GPT-5. It's ideal when you need frontier reasoning without full-model latency or expense.

Ready to create?

Start generating with GPT-5-mini on ModelsLab.

Try GPT-5-miniAPI Documentation