GPT 5.4 Nano
GPT 5.4 Nano is the smallest and most affordable model in the GPT-5.4 family, performing close to GPT-5.4 Mini in evaluations at a lower price point, built for high-volume sub-agent workflows. Your use is subject to OpenAI's Terms & Privacy Policies.
View API reference- Input and output price
- Prices from: Input $0.20, Output $1.25, Per 1M tokens
- 24h uptime
- Loading AI Gateway uptime
import { streamText } from 'ai'
const result = streamText({ model: 'openai/gpt-5.4-nano', prompt: 'Why is the sky blue?'})Copy link to headingPlayground
Try out GPT 5.4 Nano by OpenAI. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.
GPT 5.4 Nano
GPT 5.4 Nano
Copy link to headingProviders
Route requests across multiple providers. Copy a provider slug to set your preference. Visit the docs for more info. Using a provider means you agree to their terms, listed under Legal.
Copy link to headingUptime24 hours
Direct request success rate on AI Gateway and per-provider. Visit the docs for more info.
Copy link to headingThroughput24 hours
P50 throughput on live AI Gateway traffic, in tokens per second (TPS). Visit the docs for more info.
Copy link to headingLatency24 hours
P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds. View the docs for more info.
Getting started
Call GPT 5.4 Nano through AI Gateway with the AI SDK generateText and streamText functions, or through the OpenAI Chat Completions, OpenAI Responses, and Anthropic Messages APIs by changing the base URL. AI Gateway authenticates the request and routes it to an available provider.
Install the AI SDK (pnpm add ai dotenv), create an API key from the API Keys page, and set it as AI_GATEWAY_API_KEY in your environment. Full setup is covered in the text generation quickstart.
import { generateText } from 'ai';import 'dotenv/config';
async function main() { const result = await generateText({ model: 'openai/gpt-5.4-nano', prompt: 'Why is the sky blue?', });
console.log(result.text);}
main().catch(console.error);Top-level parameters
The same GPT 5.4 Nano request in each API format AI Gateway supports.
import { generateText } from 'ai';import 'dotenv/config';
async function main() { const result = await generateText({ model: 'openai/gpt-5.4-nano', system: 'You are a concise technical assistant.', prompt: 'Summarize the tradeoffs between static generation and SSR.', maxOutputTokens: 1024, });
console.log(result.text);}
main().catch(console.error);Standard parameters like prompt, messages, temperature, and tools work as documented in the AI SDK docs. These are the parameters with model-specific behavior.
| Parameter | Type | Required | Description |
|---|---|---|---|
model | string | Yes | Model ID in the form creator/model, e.g. openai/gpt-5.4-nano. AI Gateway routes the request to an available provider. |
maxOutputTokens | number | No | Hard cap on generated tokens. GPT 5.4 Nano supports up to 128,000 output tokens. Reasoning tokens count toward this limit. |
reasoning | 'provider-default' | 'none' | 'minimal' | 'low' | 'medium' | 'high' | 'xhigh' | No | Provider-agnostic reasoning effort, available in AI SDK 7 or later. Maps to the provider’s native reasoning configuration; reasoning settings under providerOptions take precedence when both are set. See the Reasoning section below. |
providerOptions | Record<string, JSONValue> | No | AI Gateway routing options under gateway, plus any provider-native options under the provider’s own namespace — see the table below. |
Input limits
| Input | Formats | Sources | Max count | Max size | Limits |
|---|---|---|---|---|---|
| Text | — | — | — | — | Prompt and response share the 400K-token context window |
| Image | — | URL, base64, Uint8Array | — | — | Sent as image parts in messages; counts as input tokens |
| — | URL, base64, Uint8Array | — | — | Sent as file parts in messages; counts as input tokens |
Provider options
Set AI Gateway routing options under providerOptions.gateway. For provider-specific options, pass them under the provider’s namespace as documented by the AI SDK.
Learn more in the AI SDK openai provider docs.
import { generateText } from 'ai';import 'dotenv/config';
async function main() { const result = await generateText({ model: 'openai/gpt-5.4-nano', prompt: 'Why is the sky blue?', providerOptions: { gateway: { only: ['openai', 'azure'], }, }, });
console.log(result.text);}
main().catch(console.error);These AI Gateway routing options apply to every model. Provider-specific options pass through under the provider’s own namespace (for example providerOptions.anthropic) exactly as documented by the AI SDK.
| Parameter | Type | Required | Description |
|---|---|---|---|
providerOptions.gateway.only | string[] | No | Restrict routing to these provider slugs. Requests fail over only within the listed providers. |
providerOptions.gateway.order | string[] | No | Preferred provider order. Listed providers are tried first; unlisted providers remain available as fallbacks. |
providerOptions.gateway.sort | 'cost' | 'ttft' | 'tps' | No | Rank candidate providers by price, time to first token, or tokens per second instead of the default routing order. |
providerOptions.gateway.zeroDataRetention | boolean | No | Route only to providers with a zero-data-retention policy for this model. |
Routing across providers
AI Gateway serves the same model through multiple providers and fails over automatically. order expresses a preference while keeping every provider eligible; only is a hard allowlist — if none of the listed providers are available the request fails instead of falling back.
Options under a provider's own namespace (for example providerOptions.anthropic) are forwarded to that provider with the request. Providers ignore option namespaces that don't apply to them, so it is safe to set provider options alongside gateway routing options.
Reasoning
AI Gateway bridges reasoning across every API format. The AI SDK exposes a provider-agnostic top-level reasoning level (none, minimal, low, medium, high, or xhigh); the Chat Completions and Responses formats take the same effort under reasoning.effort; and the Anthropic Messages format uses a native thinking token budget. Whichever you send, the gateway maps it to the target model’s native configuration, converting between effort levels and token budgets as needed. Reasoning-related settings under providerOptions take full precedence over the top-level reasoning value and are never merged. Reasoning tokens typically count toward your output-token usage, though how they’re reported and billed varies by provider.
Learn more in the AI Gateway reasoning guide.
import { generateText } from 'ai';import 'dotenv/config';
async function main() { const result = await generateText({ model: 'openai/gpt-5.4-nano', prompt: 'Explain the Monty Hall problem step by step.', reasoning: 'high', });
console.log(result.text);}
main().catch(console.error);Image input
Send images alongside text as message parts. Images count as input tokens.
import { generateText } from 'ai';import 'dotenv/config';
async function main() { const result = await generateText({ model: 'openai/gpt-5.4-nano', messages: [ { role: 'user', content: [ { type: 'text', text: 'Describe this image.' }, { type: 'image', image: 'https://example.com/photo.jpg' }, ], }, ], });
console.log(result.text);}
main().catch(console.error);PDF input
Attach PDFs as file parts. Their contents count as input tokens.
import { generateText } from 'ai';import 'dotenv/config';
async function main() { const result = await generateText({ model: 'openai/gpt-5.4-nano', messages: [ { role: 'user', content: [ { type: 'text', text: 'Summarize this document.' }, { type: 'file', mediaType: 'application/pdf', data: 'https://example.com/document.pdf', }, ], }, ], });
console.log(result.text);}
main().catch(console.error);Tool calling
Expose tools the model can call. Define each tool’s inputs with a Zod schema.
import { generateText, tool } from 'ai';import { z } from 'zod';import 'dotenv/config';
async function main() { const result = await generateText({ model: 'openai/gpt-5.4-nano', prompt: 'What is the weather in San Francisco?', tools: { getWeather: tool({ description: 'Get the current weather for a location', inputSchema: z.object({ location: z.string() }), execute: async ({ location }) => ({ location, temperatureC: 18 }), }), }, });
console.log(result.text);}
main().catch(console.error);Copy link to headingMore models by OpenAI
| Model |
|---|
| 1.1M | 3.0 s | 49 tps | $10/M+2 more | $50/M+2 more | Read$1/M Write$12.50/M | $10/K | +5 |  | 09/04/2026 | |||||
| 1.1M | 1.5 s | 184 tps | $0.20/M+2 more | $1.20/M+2 more | Read$0.02/M Write$0.25/M | $10/K | +5 |  | 07/09/2026 | |||||
| 1.1M | 2.1 s | 81 tps | $2/M+2 more | $10/M+2 more | Read$0.20/M Write$2.50/M | $10/K | +5 | | 07/09/2026 | |||||
| 1.1M | 2.0 s | 109 tps | $2/M+2 more | $12/M+2 more | Read$0.20/M Write$2.50/M | $10/K | +5 | | 07/09/2026 | |||||
| 1.1M | 0.6 s | 90 tps | $2.50/M+2 more | $15/M+2 more | Read$0.25/M | $10/K | +4 | | 03/05/2026 | |||||
| 400K | 4.3 s | 192 tps | $0.05/M | $0.40/M | Read$0.005/M | $14/K | +3 | | 08/07/2025 |
Copy link to headingAbout GPT 5.4 Nano
GPT 5.4 Nano became available on March 17, 2026 on AI Gateway as the smallest and most affordable model in the GPT-5.4 family. It performs close to GPT-5.4 Mini in evaluations while costing less per token, making it well-suited for high-volume use cases where cost scales with the number of parallel calls.
The model supports verbosity and reasoning level parameters, giving you control over how much the model reasons before answering. It's built for sub-agent workflows where multiple smaller models coordinate on parts of a larger task, and its price point makes per-request inference viable at the highest traffic levels.
With a context window of 400K tokens, GPT 5.4 Nano can process substantial inputs even when outputs remain short. For classification, routing, lightweight code checks, and batch processing at scale, it provides GPT-5.4 generation quality at the lowest cost in the family.
Copy link to headingWhat To Consider When Choosing a Provider
- Configuration: GPT 5.4 Nano performs close to GPT-5.4 Mini in evaluations at a lower price point. Choose it when cost scales with the number of parallel calls.
- Configuration: Like GPT-5.4 Mini, it supports verbosity and reasoning level parameters, giving you control over response detail and reasoning depth per request.
- Zero Data Retention: Zero Data Retention is available for this model. It is offered on a per-provider and model basis. See the documentation for details.
- Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
Copy link to headingWhen to Use GPT 5.4 Nano
Best for
- High-volume sub-agent workflows: Parallel calls where cost scales with the number of agents
- Classification and routing: Sentiment analysis, intent detection, and request triage at high volume
- Lightweight code tasks: Simple code checks, unused import detection, and quick validations
- Cost-sensitive batch processing: Large-scale inference where per-call cost is the primary constraint
- Pipeline preprocessing: Fast filtering and extraction steps that feed into larger model calls
Consider alternatives when
- Higher capability needed: GPT-5.4 mini for agentic tasks that require more reliable multi-step completion
- Maximum quality: GPT-5.4 or GPT-5.4 pro for complex reasoning and analysis
- Specialized coding: GPT-5.3 codex for autonomous software engineering
- Deep deliberation: O3 for chain-of-thought reasoning on hard problems
Copy link to headingConclusion
GPT 5.4 Nano brings GPT-5.4 generation quality to the most affordable tier. For high-volume sub-agent workflows, classification, and batch processing through AI Gateway, it provides near-mini performance at a fraction of the cost.
Copy link to headingFrequently Asked Questions
How does GPT 5.4 Nano compare to GPT-5.4 Mini?
It performs close to GPT-5.4 Mini in evaluations at a lower price point. Choose it when cost scales with the number of parallel calls.
What context window does GPT 5.4 Nano support?
400K tokens, which is substantial for a model at this price tier.
Does GPT 5.4 Nano support the verbosity parameter?
Yes. It supports verbosity and reasoning level parameters, giving you control over response detail and reasoning depth per request.
What tasks is GPT 5.4 Nano designed for?
High-volume sub-agent workflows, classification, routing, lightweight code checks, and batch processing where per-call cost is the dominant concern.
Can GPT 5.4 Nano handle complex reasoning?
For complex multi-step reasoning, GPT-5.4 Mini or the full GPT-5.4 will produce better results. GPT 5.4 Nano is optimized for simpler tasks at high volume.
How does AI Gateway handle authentication for GPT 5.4 Nano?
AI Gateway accepts a single API key or OIDC token for all requests. You don't embed OpenAI credentials in your application; AI Gateway routes and authenticates on your behalf.
What are typical latency characteristics?
This page shows live throughput and time-to-first-token metrics measured across real AI Gateway traffic.