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OpenAI: GPT-5.4 NanoNano Speed. Full Power

Try OpenAI: GPT-5.4 NanoAPI Documentation

Deploy GPT-5.4 Nano Now

Ultra Low Cost

0.20/M Input Tokens

Process OpenAI: GPT-5.4 Nano API at $0.20 per million input tokens for high-volume classification.

400K Context

Handles Long Inputs

OpenAI: GPT-5.4 Nano model supports 400,000 token context with 128,000 output for extraction tasks.

Sub-Second Latency

Optimized for Scale

Use OpenAI: GPT-5.4 Nano LLM as alternative for ranking and sub-agents at high throughput.

Examples

See what OpenAI: GPT-5.4 Nano 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 else: return fibonacci(n-1) + fibonacci(n-2)”

Data Extraction

“Extract key entities from this invoice text: Invoice #1234, Date: 2025-01-15, Client: Acme Corp, Amount: $2500, Due: 2025-02-15.”

Text Classification

“Classify this email as spam, urgent, or normal: Subject: Urgent payment required! Click here to verify account.”

Summary Generation

“Summarize this article abstract on quantum computing advancements in under 100 words.”

For Developers

A few lines of code.
Inference. 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-5.4 Nano

Read the docs

GPT-5.4 Nano is OpenAI's smallest model for speed-critical tasks like classification and data extraction. It replaces GPT-5 nano with better benchmarks. Supports text and image inputs.

Input costs $0.20 per million tokens, cached input $0.02, output $1.25. Regional endpoints add 10% uplift. Ideal for high-volume OpenAI: GPT-5.4 Nano API use.

It has a 400,000 token context window and 128,000 max output tokens. Knowledge cutoff is Aug 31, 2025. Fits long documents in openai gpt 5.4 nano.

Choose for bulk tasks like ranking or sub-agents where cost beats peak performance. Beats prior mini in coding benchmarks. OpenAI: GPT-5.4 Nano LLM scales workflows.

Supports function calling, web search, and structured outputs. Designed for agentic pipelines. Access via OpenAI: GPT-5.4 Nano API endpoints.

Yes, nano prioritizes low-latency for throughput over complex reasoning. Use for simple tasks at scale. Part of GPT-5.4 efficient lineup.

Ready to create?

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

Try OpenAI: GPT-5.4 NanoAPI Documentation