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Available now on ModelsLab · Language Model

GPT-5-nanoSpeed meets efficiency

Try GPT-5-nanoAPI Documentation
GPT-5-nano

Extreme Performance. Extreme Value.

Lightning-Fast

50-60 Tokens Per Second

Process more reasoning per dollar with industry-leading token throughput and 180ms first-token latency.

Ultra-Affordable

20-25× Cheaper Than Alternatives

Pay $0.05 per million input tokens. Ideal for high-volume, cost-sensitive production workloads.

Built for Scale

400K Context Window

Handle long documents, codebases, and transcripts without truncation or session limits.

Examples

See what GPT-5-nano can create

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

Document Summarization

“Summarize this quarterly earnings report into 3 key takeaways: [paste full report]. Focus on revenue, margins, and forward guidance.”

Email Classification

“Classify this customer email as: urgent, follow-up, or resolved. Email: [paste text]. Respond with classification only.”

Code Snippet Generation

“Write a Python function that validates email addresses using regex. Include error handling and return True/False.”

Meeting Notes Extraction

“Extract action items, decisions, and owners from this meeting transcript: [paste transcript]. Format as bullet points.”

For Developers

A few lines of code.
Fast inference. Minimal cost.

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-nano

Read the docs

GPT-5-nano excels at summarization, classification, boilerplate generation, and real-time applications where speed and cost matter more than deep reasoning. It's optimized for production workloads like chatbots, routing layers, and agent backends.

GPT-5-nano is the smallest, fastest, and cheapest variant in the GPT-5 lineup. It trades reasoning depth for speed and cost efficiency, making it ideal for high-throughput tasks. Larger GPT-5 models handle complex reasoning and multi-step problem-solving.

GPT-5-nano costs $0.05 per million input tokens and $0.40 per million output tokens, with cached-input pricing at $0.005 per million tokens. It supports a 400K token input context window and 128K token output limit.

Yes, GPT-5-nano accepts both text and image inputs. However, it outputs text only—it cannot generate images, audio, or other media formats.

GPT-5-nano achieves ~180ms first-token latency and 50-60 tokens per second throughput. While GPT-4o excels at low-latency voice (~232ms), GPT-5-nano delivers superior token throughput and reasoning efficiency per dollar for text workloads.

GPT-5-nano is optimized for efficiency over complex reasoning. It handles simple procedural math and straightforward logic well but may struggle with multi-step proofs, abstract reasoning, or tool orchestration. For complex tasks, use larger GPT-5 variants.

Ready to create?

Start generating with GPT-5-nano on ModelsLab.

Try GPT-5-nanoAPI Documentation