GPT-5 nano Reviews (2026)

What is GPT-5 nano?

GPT-5 nano is OpenAI’s fastest and most cost-efficient version of the GPT-5 model, engineered to handle high-speed text and image input processing for tasks such as summarization, classification, and content generation. It features an extensive 400,000-token context window and can output up to 128,000 tokens, allowing for complex, multi-step language understanding despite its focus on speed. With ultra-low pricing—$0.05 per million input tokens and $0.40 per million output tokens—GPT-5 nano makes advanced AI accessible to budget-conscious users and developers working at scale. The model supports a variety of advanced API features, including streaming output, function calling for interactive applications, structured outputs for precise control, and fine-tuning for customization. While it lacks support for audio input and web search, GPT-5 nano supports image input, code interpretation, and file search, broadening its utility. Developers benefit from tiered rate limits that scale from 500 to 30,000 requests per minute and up to 180 million tokens per minute, supporting everything from small projects to enterprise workloads. The model also offers snapshots to lock performance and behavior, ensuring consistent results over time. GPT-5 nano strikes a practical balance between speed, cost, and capability, making it ideal for fast, efficient AI implementations where rapid turnaround and budget are critical. It fits well for applications requiring real-time summarization, classification, chatbots, or lightweight natural language processing tasks. Overall, GPT-5 nano expands the accessibility of OpenAI’s powerful AI technology to a broader user base.

Pricing

Price Starts At:

$0.05 per 1M tokens

Price Overview:

Input: $0.05 per 1M tokens
Output: $0.4 per 1M tokens

Integrations

Offers API?:

Yes, GPT-5 nano provides an API

All GPT-5 nano Integrations

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Screenshots and Video

Company Facts

Company Name:

OpenAI

Date Founded:

2015

Company Location:

United States

Company Website:

platform.openai.com/docs/models/gpt-5-nano

Product Details

Deployment

SaaS

Windows

Mac

iPhone

iPad

Android

Training Options

Documentation Hub

Support

Web-Based Support

Product Details

Target Company Sizes

Individual

1-10

11-50

51-200

201-500

501-1000

1001-5000

5001-10000

10001+

Target Organization Types

Mid Size Business

Small Business

Enterprise

Freelance

Nonprofit

Government

Startup

Supported Languages

Albanian

Arabic

Armenian

Basque

Bengali

Bulgarian

Catalan

Chinese (Mandarin)

Chinese (Simplified)

Croatian

Czech

Danish

Dutch

English

Estonian

Finnish

French

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GPT-5 nano Categories and Features

Large Language Models

AI Models

vs.

GPT-5 mini

GPT-5 mini is a faster, more affordable variant of OpenAI’s advanced GPT-5 language model, specifically tailored for well-defined and precise tasks that benefit from high reasoning ability. It accepts both text and image inputs (image input only), and generates high-quality text outputs,...

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vs.

GPT-5 pro

GPT-5 Pro is OpenAI’s flagship AI model built to deliver exceptional reasoning power and precision for the most complex and nuanced problems across numerous domains. Utilizing advanced parallel computing techniques, it extends the GPT-5 architecture to think longer and more deeply, resulting in...

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vs.

GPT-5

OpenAI’s GPT-5 is the latest flagship AI language model, delivering unprecedented intelligence, speed, and versatility for a broad spectrum of tasks including coding, scientific inquiry, legal research, and financial analysis. It is engineered with built-in reasoning capabilities, allowing it to...

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vs.

Qwen3.5-Plus

Qwen3.5-Plus is a next-generation multimodal large language model built for scalable, enterprise-grade reasoning and agentic applications. It combines linear attention mechanisms with a sparse mixture-of-experts architecture to maximize inference efficiency while maintaining performance...

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vs.

GPT-4o mini

A streamlined model that excels in both text comprehension and multimodal reasoning abilities. The GPT-4o mini has been crafted to efficiently manage a vast range of tasks, characterized by its affordability and quick response times, which make it particularly suitable for scenarios requiring...

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vs.

GPT-4 Turbo

The GPT-4 model signifies a remarkable leap in artificial intelligence, functioning as a large multimodal system adept at processing both text and image inputs, while generating text outputs that enable it to address intricate problems with an accuracy that surpasses previous iterations due to...

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vs.

GPT-4.1 nano

GPT-4.1 nano is a highly efficient, smaller-scale version of the GPT-4.1 model, built for high-speed, low-cost AI applications. It retains the core capabilities of the GPT-4.1 series, including support for a 1 million token context window, but with optimized performance for tasks like...

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vs.

Amazon Nova Micro

Amazon Nova Micro is a high-performance, text-only AI model that provides low-latency responses, making it ideal for applications needing real-time processing. With impressive capabilities in language understanding, translation, and reasoning, Nova Micro can generate over 200 tokens per second...

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vs.

T5

We present T5, a groundbreaking model that redefines all natural language processing tasks by converting them into a uniform text-to-text format, where both the inputs and outputs are represented as text strings, in contrast to BERT-style models that can only produce a class label or a specific...

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vs.

Gemini 3.1 Flash-Lite

Gemini 3.1 Flash-Lite is Google’s latest high-performance AI model optimized for large-scale, cost-sensitive workloads. As the fastest and most economical model in the Gemini 3 lineup, it is built to support developers who require rapid responses and predictable pricing. The model’s pricing...

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