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GPT-5 nano: Fastest, Most Cost-Efficient GPT-5 Version

Released on August 7, 2025, as part of the GPT-5 lineup alongside GPT-5 and GPT-5 mini, GPT-5 nano is positioned as a lightweight model optimized for speed and low-cost deployment.

Designed for rapid responses and efficient scaling, it improves on earlier small models with faster performance and broader multimodal input while maintaining a compact footprint. Its strengths in speed, efficiency, and practical reasoning make it well-suited for high-volume AI workflows. GPT-5 nano is ideal for summarization, classification tasks, and everyday chatbot or productivity applications.

GPT-5 nano: Key Specs

Below are GPT-5 nano's main specs and how they translate into real-world behavior.

  • Context Window - 400,000 tokens: A context window this large lets the model keep a wide span of text active at once, allowing GPT-5 nano to follow full conversations or medium-length documents without losing earlier details, which makes it reliable for chat agents, help desks, and structured writing tasks.
  • Maximum Output Length - Up to 128,000 tokens: This maximum response size allows GPT-5 nano to produce long, uninterrupted outputs, such as full summaries, multi-step explanations, or detailed reports, without cutting off mid-answer.
  • Speed and Efficiency - With very low latency and high throughput: GPT-5 nano responds quickly and generates tokens efficiently, allowing it to deliver fast replies and maintain smooth performance across many simultaneous conversations without slowdown.
  • Cost Efficiency - Most affordable model in the GPT-5 family: As the lowest-cost option in the series, GPT-5 nano is ideal for high-volume use cases like support bots, internal tools, and frequent automated tasks where cost per request matters.
  • Reasoning and Accuracy - Reliable on everyday and moderately complex tasks: This describes how well the model handles logic, correctness, and problem-solving, with GPT-5 nano performing well on common questions, summaries, basic analysis, and simple coding, while larger models handle complex reasoning better.
  • Multimodal Capabilities - Text + images support: This means GPT-5 nano can process both text and simple images in the same request, allowing it to analyze screenshots or visual inputs alongside written prompts and provide a combined, coherent response.

Compare GPT-5 nano, GPT-5, and GPT-5 mini

A brief overview of how each model differs in power, speed, and use cases.

FeatureGPT-5 nanoGPT-5GPT-5 mini
Knowledge Cutoff
May 31, 2024
Sep 30, 2024
May 31, 2024
Context Window (Tokens)
400,000
400,000
400,000
Max Output Tokens
128,000
128,000
128,000
Input Modalities
Text, image
Text, image
Text, image
Output Modalities
Text
Text
Text
Latency (OpenRouter Data)
2.98s
7.10s
4.84s
Speed
Very Fast (faster than GPT-5 mini)
Medium (mid-tier in the GPT-5 series)
Faster than GPT-5
Input / Output Cost per 1M Tokens
$0.05 / $0.40
$1.25 / $10
$0.25 / $2
Reasoning Performance
Average
Very High
High
Coding Performance
(on SWE-bench Verified)
54.60%
74.90%
59.80%
Best For
summarization and classification tasks
coding, reasoning, and agentic tasks across domains
well-defined and lighter-weight reasoning tasks

Source:  OpenAI GPT-5 nano Documentation

Best Cases to Use GPT-5 nano

GPT-5 nano is best for fast, everyday AI tasks where you need quick, useful results at scale.

  • For students and learners: Turn chapters or notes into clear summaries, flashcards, and short quizzes. Ask it to explain tricky ideas in simpler words to speed up revision and exam prep.
  • For developers: Get quick explanations of errors, small code snippets, and simple utility scripts. Use it to rewrite code, add comments, or sketch out starter functions you refine later.
  • For businesses and teams: Draft replies to common customer questions, summarize emails or tickets, and create short posts or announcements. Great as a “first draft” engine your team can quickly polish.
  • For product teams and app builders: Embed it in apps for quick suggestions, simple classifications, auto-complete, and short explanations. Ideal for frequently used, low-latency features serving many users.
  • For operations and support workflows: Auto-tag incoming messages, summarize conversations, and suggest reply templates. Helps support teams process high volumes of repetitive requests more consistently and efficiently.
  • For content and marketing helpers: Generate short headlines, taglines, and copy variations. Repurpose one message into email intros, social snippets, or in-app texts when you need quick, lightweight content.

How to Access GPT-5 nano

Accessing GPT-5 nano is straightforward, and you can choose the method that fits your workflow best.

1. OpenAI API

You can use GPT-5 Nano directly through the official OpenAI API. This requires an API key and an appropriate usage plan. It's ideal for developers who want full control and want to integrate the model into apps, tools, or automated workflows.

2. EssayDone AI Chat

If you want instant access without setup, region limits, or API configuration, you can use GPT-5 Nano through the EssayDone AI Chat feature.

EssayDone provides the same output quality as the official OpenAI API but in a more convenient, user-friendly interface. This option is perfect for students, writers, and professionals who just want to start using the model immediately-no technical steps required.

FAQ

Here are some frequently asked questions about GPT-5 nano.

Is GPT-5 nano reasoning?

GPT-5 nano has basic reasoning ability, but it is not a high-level reasoning model. It is designed primarily for speed and efficiency rather than deep analytical tasks.

How much does OpenAI GPT-5 nano cost?

GPT-5 nano costs $0.05 per 1M input tokens and $0.40 per 1M output tokens. It is the lowest-priced model in the GPT-5 family.

What tasks is GPT-5 nano optimized for?

GPT-5 nano is optimized for fast, lightweight tasks such as summarization, simple classification, rewriting, and brief conversational responses. It is ideal for low-latency or on-device applications.

How well does GPT-5 nano process multimodal inputs?

GPT-5 nano accepts text and image inputs and produces text outputs. It supports basic multimodal processing but is not designed for advanced visual or audio reasoning.

How does GPT-5 nano compare to GPT-5 and GPT-5 mini?

GPT-5 nano is the fastest and most affordable option, with limited reasoning and basic multimodal capability. GPT-5 mini offers stronger reasoning and better multimodal performance, while full GPT-5 provides the highest accuracy and reasoning depth.

What's the benefit of using GPT-5 nano in EssayDone AI Chat?

Using GPT-5 nano in EssayDone AI Chat means you don't need an API key, don't face daily message limits, and aren't restricted by region. You can access ChatGPT and many other AI models in one place, all at a more affordable price.