OpenAI: GPT-5.4 Nano
openai/gpt-5.4-nano
Access GPT-5.4 Nano from OpenAI using Puter.js AI API.
Get Started// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "openai/gpt-5.4-nano"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "openai/gpt-5.4-nano"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://api.puter.com/puterai/openai/v1/",
api_key="YOUR_PUTER_AUTH_TOKEN",
)
response = client.chat.completions.create(
model="openai/gpt-5.4-nano",
messages=[
{"role": "user", "content": "Explain quantum computing in simple terms"}
],
)
print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
-d '{
"model": "openai/gpt-5.4-nano",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
GPT-5.4 Nano is the smallest and cheapest model in the GPT-5.4 family, offering a 400k context window at just $0.20/1M input tokens. It excels at classification, data extraction, ranking, and coding sub-agent tasks, outperforming the previous GPT-5 Mini on SWE-Bench Pro (52.4% vs 45.7%). It's ideal for high-volume, low-latency workloads and as a fast sub-agent in multi-model architectures.
Context Window 400K
tokens
Max Output 128K
tokens
Input Cost $0.2
per million tokens
Output Cost $1.25
per million tokens
Release Date Mar 17, 2026
Output Speed 161
tokens / sec
Latency 2.26s
time to first token
Model Playground
Try GPT-5.4 Nano instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How GPT-5.4 Nano performs on standard evaluations.
| Benchmark | Score |
|---|---|
| GPQA Diamond Graduate-level science Q&A | 81.7% |
| Humanity's Last Exam Cross-domain reasoning | 26.5% |
| SciCode Scientific programming | 46.9% |
| IFBench Instruction following | 75.9% |
| LCR Long-context reasoning | 66.0% |
| Terminal-Bench Hard Agentic terminal tasks | 42.4% |
| τ²-Bench Tool use / agents | 76.0% |
Scores sourced from Artificial Analysis.
Find other OpenAI models →
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GPT-5.5 is OpenAI's newest frontier model for complex professional work — a fully retrained base model in the GPT-5 family. It excels at agentic coding, computer use, knowledge work, and scientific research, and is designed to plan, use tools, and carry multi-step tasks to completion autonomously. It achieves state-of-the-art scores on several benchmarks, including 82.7% on Terminal-Bench 2.0 (agentic coding workflows), 84.9% on GDPval (knowledge work across 44 occupations), and 78.7% on OSWorld-Verified (desktop computer use). It outperforms Claude Opus 4.7 and Gemini 3.1 Pro on most agentic and math benchmarks, though Opus 4.7 still leads on SWE-Bench Pro. Available with a 128,000 max output tokens. Supports image input, structured outputs, function calling, streaming, prompt caching, Batch, distillation, and a full Responses API tool suite including web search, computer use, MCP, hosted shell, and tool search. Defaults to medium reasoning effort (supports none through xhigh).
ChatGPT-5.5 Pro
GPT-5.5 Pro is a version of GPT-5.5 that uses more compute to produce smarter, more precise responses on the hardest problems. It scores 39.6% on FrontierMath Tier 4 (expert-level mathematics) and 43.1% on Humanity's Last Exam (multidisciplinary zero-shot reasoning). Supports function calling, structured outputs, web search, file search, image generation, code interpreter, hosted shell, and MCP. Does not support computer use, apply patch, skills, tool search, or distillation. Shares the same 1,050,000-token context window and 128,000 max output tokens as GPT-5.5. Best suited for legal review, financial modeling, scientific research, and scenarios where first-pass accuracy outweighs cost and latency.
ImageGPT Image 2
GPT Image 2 is OpenAI's state-of-the-art image generation and editing model, released in April 2026 as the successor to GPT Image 1. It accepts both text and image inputs, enabling generation from prompts as well as editing of existing images. The model is particularly strong at rendering text within images — signs, UI elements, labels, and multi-word strings — which was a persistent weakness in prior OpenAI image models. It also supports non-Latin scripts including Japanese, Korean, Chinese, Hindi, and Bengali. GPT Image 2 outputs up to 2K resolution, supports flexible image sizes, and can generate multiple images from a single prompt. It features a December 2025 knowledge cutoff and built-in reasoning capabilities. Ideal for developers building visual content pipelines, localized marketing assets, infographics, or UI mockups at scale.
Frequently Asked Questions
You can access GPT-5.4 Nano by OpenAI through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add GPT-5.4 Nano to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.2 |
| Output | $1.25 |
GPT-5.4 Nano was created by OpenAI and released on Mar 17, 2026.
GPT-5.4 Nano supports a context window of 400K tokens. For reference, that is roughly equivalent to 800 pages of text.
GPT-5.4 Nano can generate up to 128K tokens in a single response.
GPT-5.4 Nano scores 44.0 on the Artificial Analysis Intelligence Index, outperforming 90% of tracked models. On coding, it scores 43.9 (outperforms 92% of models).
Yes — the GPT-5.4 Nano API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Get started with Puter.js
Add GPT-5.4 Nano to your app without worrying about API keys or setup.
Read the Docs View Tutorials