--- title: GPT-5 Nano — Fast LLM Inference | ModelsLab description: Run OpenAI: GPT-5 Nano API for ultra-low latency classification and summarization. Try OpenAI: GPT-5 Nano model or alternatives now. url: https://modelslab.com/openai-gpt-5-nano canonical: https://modelslab.com/openai-gpt-5-nano type: website component: Seo/ModelPage generated_at: 2026-04-15T02:03:37.621599Z --- Available now on ModelsLab · Language Model OpenAI: GPT-5 Nano Nano Speed. Full Power --- [Try OpenAI: GPT-5 Nano](/models/open_router/openai-gpt-5-nano) [API Documentation](https://docs.modelslab.com) Deploy GPT-5 Nano Fast --- Ultra Low Latency ### Fastest GPT-5 Variant OpenAI: GPT-5 Nano handles classification and summarization at minimal cost. 400K Context ### Massive Token Window Process 400,000 input tokens with text and image support via OpenAI: GPT-5 Nano API. Tool Calling ### Function Calling Ready OpenAI gpt 5 nano api enables structured outputs and agentic workflows efficiently. Examples See what OpenAI: GPT-5 Nano can create --- Copy any prompt below and try it yourself in the [playground](/models/open_router/openai-gpt-5-nano). Code Review “Review this Python function for bugs and optimize for speed: def fibonacci(n): if n <= 1: return n return fibonacci(n-1) + fibonacci(n-2)” Data Summary “Summarize key trends from this sales dataset in bullet points: Q1: 1200 units, Q2: 1500, Q3: 1100, Q4: 1800.” Text Classify “Classify this email as spam, urgent, or normal: Subject: Urgent invoice overdue. Pay now or account suspended.” Image Describe “Describe elements in this chart image and extract top 3 insights on revenue growth.” For Developers A few lines of code. Nano 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 ](https://docs.modelslab.com) PythonJavaScriptcURL Copy ```

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 Nano --- [Read the docs ](https://docs.modelslab.com) ### What is OpenAI: GPT-5 Nano? ### How does openai: gpt-5 nano api pricing work? ### Is OpenAI: GPT-5 Nano model better than GPT-5 mini? ### What endpoints support openai gpt 5 nano? ### When was OpenAI: GPT-5 Nano released? ### Need OpenAI: GPT-5 Nano alternative? Ready to create? --- Start generating with OpenAI: GPT-5 Nano on ModelsLab. [Try OpenAI: GPT-5 Nano](/models/open_router/openai-gpt-5-nano) [API Documentation](https://docs.modelslab.com) --- *This markdown version is optimized for AI agents and LLMs.* **Links:** - [Website](https://modelslab.com) - [API Documentation](https://docs.modelslab.com) - [Blog](https://modelslab.com/blog) --- *Generated by ModelsLab - 2026-04-15*