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.
GPT‑5.4 mini and nano
Fast and efficient models optimized for coding and subagents
GPT‑5.4 mini and nano Introduction
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 Startups Use It
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.
Alternative Options
Google Gemini 3.1 Flash-Lite, Anthropic Claude, Meta Llama, previous GPT models like GPT-5 mini
Frequently Asked Questions
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.
More About GPT‑5.4 mini and nano
PricingPaid
Listed DateJul 06, 2026
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