What is the pricing for GPT-5.4 nano?

GPT-5.4 nano costs $0.20 per 1 million input tokens and $1.25 per 1 million output tokens, making it highly affordable for large-scale tasks.

How does GPT-5.4 mini compare to GPT-5.4?

GPT-5.4 mini is faster and more efficient, approaching GPT-5.4's performance on benchmarks like SWE-Bench Pro while using only 30% of the quota in Codex for cost savings.

Where can I use GPT-5.4 mini and nano?

They are available in ChatGPT for Free and Go users via the 'Thinking' feature, through the API, and in Codex for development, with integration in Microsoft Foundry for evaluation.

What are the primary use cases for these models?

They are optimized for coding, subagents, classification, data extraction, ranking, and multimodal tasks where low latency and cost efficiency are priorities.

GPT‑5.4 mini and nano

Fast and efficient models optimized for coding and subagents

Development

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Listed website: openai.com
Published in directory: Mar 19, 2026
Last record update: Mar 19, 2026

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Overview
5 key features
4 use cases

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What is GPT‑5.4 mini and nano

GPT-5.4 mini and nano are fast, efficient AI models optimized for coding and subagent workflows, offering high performance at reduced costs. They support multimodal tasks, computer use, web search, and massive context for real-world, high-scale execution. These models are designed to minimize latency and handle high-volume workloads effectively.

Key Features

2x faster than previous mini models for responsive coding and agentic tasks

Ultra-low cost with GPT-5.4 nano optimized for high-throughput API usage

Supports multimodal understanding, including image reasoning and tool use

Available across ChatGPT, API, and Codex for flexible integration

Designed for low-latency workflows with computer use and web search capabilities

Use Cases

Developers building real-time coding assistants that require fast response times for interactive experiences
AI teams implementing subagents to handle supporting tasks in complex agentic workflows efficiently
Startups creating cost-effective multimodal applications for image description, classification, and data extraction
Enterprises scaling high-volume tasks like ranking, retrieval, and automation with minimal latency

Why do startups need this tool?

Startups need GPT-5.4 mini and nano for their cost-effectiveness and scalability in building responsive AI systems. These models enable rapid development of coding assistants and agentic workflows without high expenses, allowing startups to innovate and deploy at scale efficiently.