GPT-5 Nano
VerifiedMultimodal model handling long text, image, and file inputs.
About GPT-5 Nano
GPT-5 Nano is a closed-source multimodal system released by OpenAI. It processes combined text, image, and file data within a 400,000-token context window. Parameters are not publicly specified and the weights remain proprietary.
Its design supports extended multimodal sessions without requiring separate preprocessing steps. Typical usage includes document analysis that mixes lengthy text passages with embedded images or attached files. Developers integrate it into workflows needing unified handling of diverse data formats.
Capabilities
How GPT-5 Nano compares
GPT-5 Nano (striped bar) vs other multimodal on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · GPT-5 Nano ranks #19 of 124
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long Document Analysis
GPT-5 Nano excels at long-context reasoning over extensive files, enabling synthesis of information across hundreds of thousands of tokens while preserving coherence.
Multimodal Research Processing
It integrates vision understanding with file processing to analyze documents containing images, charts, and text for comprehensive insights.
Complex Report Generation
The model combines multimodal input integration and text generation to produce detailed outputs from mixed media sources like PDFs and visuals.
Strengths & limitations
Strengths
- +Handles very large contexts efficiently
- +Supports text, image, and file inputs
- +Lightweight design for faster responses
- +Practical for extended document tasks
Limitations
- –Lower capability depth than full-scale models
- –May struggle with highly complex reasoning
- –Trade-off in advanced task performance
Cost calculator
Estimate what GPT-5 Nano would cost for your usage.
Based on GPT-5 Nano's $0.05/1M input · $0.40/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "openai/gpt-5-nano",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: openai/gpt-5-nano
Editor's verdict
GPT-5 Nano is OpenAI's proprietary multimodal with a 400K-token context window.
At $0.40 per 1M output tokens, it is very cost-efficient for its class.
It is available through OpenAI's API and aggregators like OpenRouter.
Best suited to handles very large contexts efficiently and supports text, image, and file inputs.
Frequently asked questions
GPT-5 Nano provides a context length of 400,000 tokens.
User reviews
Real, verified reviews from the community shape this model's rating.
Loading reviews…
Other GPT models
Sibling versions in the GPT family from OpenAI.
Similar models
Other multimodal worth comparing.