GPT-5 Nano is OpenAI's most compact and cost-efficient model, designed for high-volume, simple workloads where speed and price matter more than peak reasoning ability. It excels at classification, extraction, formatting, and straightforward generation tasks.
Nano is the ideal choice for pipelines processing millions of requests — sentiment analysis, content moderation, data normalization, and simple Q&A — where each individual call needs to be as cheap and fast as possible.
Key Features
Ultra-low cost per request for high-volume usage
Sub-100ms time to first token
Strong at classification, extraction, and formatting
128K token context window
Lightweight enough for edge deployment scenarios
Supports function calling and structured output
Ideal Use Cases
Content moderation and toxicity detection at scale
Data extraction and normalization pipelines
High-volume sentiment analysis and classification
Simple Q&A and FAQ automation
Example Prompts for GPT-5 Nano
Technical Specifications
| Context Window | 128K tokens |
| Modality | Text → Text |
| Provider | OpenAI |
| Category | Text Generation |
| Max Output | 8K tokens |
| Latency | Sub-100ms TTFT |
Frequently Asked Questions
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