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GPT-5.4 nano: Lightweight Model for Fast High-Volume Tasks
Released on March 17, 2026, GPT-5.4 nano is OpenAI’s cheapest GPT-5.4-class model for simple high-volume tasks. It is designed for workflows where speed and cost matter most, including classification, data extraction, ranking, and subagent-style support tasks.
GPT-5.4 nano is intended for developers, product teams, and operations workflows that need fast responses and efficient scaling rather than maximum reasoning depth. Compared with GPT-5.4 mini, it is lighter and cheaper; compared with GPT-5.4 and GPT-5.4 Pro, it is better suited for routine high-volume automation than complex professional analysis.
GPT-5.4 nano: Key Specs
Below are GPT-5.4 nano's main specs and how they translate into real-world behavior.
- Context Window - 400,000 tokens: This large context window gives GPT-5.4 nano enough room for long prompts, structured records, batch inputs, and supporting documents while keeping the model efficient for high-volume workloads.
- Maximum Output Length - 128,000 tokens: This output limit allows the model to return long structured results, extracted data, summaries, and simple reports when needed, even though its main strength is lightweight task execution.
- Speed and Efficiency - Fast response profile: GPT-5.4 nano is designed for speed-sensitive workloads, making it useful for applications that need quick classification, routing, extraction, or short-form assistance at scale.
- Cost Efficiency - $0.20 input and $1.25 output per 1M tokens: This low pricing makes GPT-5.4 nano practical for frequent or automated tasks where using a larger model would add unnecessary cost.
- Reasoning Capability - High reasoning tier with adjustable effort: GPT-5.4 nano supports reasoning effort settings from none through xhigh, giving users a way to balance speed, cost, and lightweight reasoning depending on task complexity.
- Multimodal Capabilities - Text and image input with text output: GPT-5.4 nano can process text and image inputs while returning text responses, enabling simple visual classification, screenshot review, and image-informed extraction workflows.
Compare GPT-5.4 nano, GPT-5.4 mini, and GPT-5.4
A brief overview of how each model differs in power, speed, and use cases.
| Feature | GPT-5.4 nano | GPT-5.4 mini | GPT-5.4 |
|---|---|---|---|
| Knowledge Cutoff | Aug 31, 2025 | Aug 31, 2025 | Aug 31, 2025 |
| Context Window (Tokens) | 400,000 | 400,000 | 1,050,000 |
| 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) | Fast | Fast | Medium |
| Speed | Fast | Fast | Medium |
| Input / Output Cost per 1M Tokens | $0.20 / $1.25 | $0.75 / $4.50 | $2.50 / $15.00 |
| Reasoning Performance | High | Higher | Highest |
| Coding Performance (on SWE-bench Verified) | 52.4% on SWE-Bench Pro; 46.3% on Terminal-Bench 2.0 | 54.4% on SWE-Bench Pro; 60.0% on Terminal-Bench 2.0 | 57.7% on SWE-Bench Pro; 75.1% on Terminal-Bench 2.0 |
| Best For | classification, data extraction, ranking, simple subagents, and high-volume lightweight tasks | fast everyday assistance, efficient coding help, subagents, computer use, and high-volume workflows | coding, research, professional knowledge work, tool use, and long-context reasoning |
Best Cases to Use GPT-5.4 nano
GPT-5.4 nano is best suited for lightweight, high-volume workflows that need fast responses, low cost, simple reasoning, and reliable instruction following at scale.
- For classification workflows: Categorize messages, documents, support tickets, product records, search results, or user inputs quickly and consistently across large volumes.
- For data extraction: Pull structured fields from short documents, forms, listings, records, messages, or routine business inputs with efficient token usage.
- For ranking and routing: Score, sort, filter, or route content in applications where fast decisions and low cost are more important than deep analysis.
- For simple subagents: Use GPT-5.4 nano for narrow support tasks such as codebase search, file scanning, formatting checks, simple summaries, or low-complexity assistant work.
- For scaled AI assistance: Power lightweight chat, FAQ, summarization, productivity, and internal automation workflows where many requests need quick, affordable responses.
- For multimodal triage: Review screenshots, forms, images, or visual records alongside text prompts for basic identification, extraction, and routing tasks.
How to Access GPT-5.4 nano
Accessing GPT-5.4 nano depends on whether you need direct API integration for scaled automation or a simple chat-based way to use the model.
1. Official API
You can access GPT-5.4 nano through the official OpenAI API using the gpt-5.4-nano model ID. It supports text and image inputs, structured outputs, function calling, streaming, and several Responses API tools, making it practical for lightweight automation and high-volume applications.
2. EssayDone AI Chat
If you want to use GPT-5.4 nano without API setup, EssayDone AI Chat provides access to this model through an easy-to-use chat interface.
This option is useful for users who want fast, lightweight AI help for simple writing, summarization, classification, studying, and everyday productivity without managing API keys or developer settings.
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FAQ
Here are some frequently asked questions about GPT-5.4 nano.
Yes. GPT-5.4 nano supports reasoning tokens and adjustable reasoning effort settings from none through xhigh, but it is optimized for lightweight, high-volume tasks rather than deep professional analysis.
GPT-5.4 nano costs $0.20 per 1M input tokens and $1.25 per 1M output tokens under standard OpenAI API pricing. Cached input pricing is listed at $0.02 per 1M tokens.
GPT-5.4 nano is optimized for simple high-volume tasks such as classification, data extraction, ranking, simple instruction following, and subagent support work.
GPT-5.4 nano accepts text and image inputs and produces text outputs. It is useful for simple multimodal tasks such as screenshot triage, visual classification, image-informed routing, and basic document review.
Compared with GPT-5.4 mini, GPT-5.4 nano is cheaper and lighter but less capable for coding, tool use, and reasoning-heavy workflows. Compared with GPT-5.4, it is designed for speed and cost efficiency rather than complex professional work.
Using GPT-5.4 nano in EssayDone AI Chat gives users a simple way to access fast, lightweight AI assistance for everyday tasks without configuring the official API or managing developer tools.