What is GPT-5.4 Nano API?
GPT-5.4 Nano is available through AIMLAPI.
Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 400,000 tokens / Max output: 128,000 tokens
- Endpoint: /chat/completions
Performance Benchmarks
[embed]
GPT-5.4 Nano API Pricing
- Input: $0.26 / 1M tokens
- Output: $1.625 / 1M tokens
Where to Use GPT-5.4 Nano
Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.
Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.
Complex reasoning
Extended reasoning improves reliability on multi-step math, logic, and technical analysis.
Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.
Code Sample
[embed]
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
GPT-5.4 Nano is suited to classification, data extraction, ranking, and simple coding subagents that handle supporting tasks.
It is also documented as a fit for fast coding workflows, including targeted edits, codebase navigation, front-end generation, and debugging loops where low latency matters.
Another documented use case is computer-using or agentic systems that need to capture and interpret screenshots and take well-scoped actions quickly.
It is also described as suitable for real-time or high-volume automation, including lightweight automation, high-volume request routing, and background tasks where cost and latency are critical.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "openai/gpt-5.4-nano", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "openai/gpt-5.4-nano", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"openai/gpt-5.4-nano","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| Intelligence | 21.2 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Coding | 56.1 | Composite score across standardised coding evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
GPT-5.4 Nano This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
GPT-5.4 Nano has a 400,000 tokens context window and can return up to 128,000 tokens.
GPT-5.4 Nano takes image, text as input and returns text.
Use openai/gpt-5.4-nano as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
GPT-5.4 Nano is priced at input $0.27508 / 1M tokens, output $1.71925 / 1M tokens, cached input $0.027508 / 1M tokens.
Yes, GPT-5.4 Nano can stream responses as they are generated.
Yes, GPT-5.4 Nano accepts image input alongside text.
GPT-5.4 Nano was built by OpenAI.
