OpenAI: GPT-5.4 Nano
openai/gpt-5.4-nano
Try GPT-5.4 Nano for free in your browser, and add it to your app for free with Puter.js AI API.
Try it free Add to your app// 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>
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
Input text, image
modalities
Tool Use Yes
Knowledge Cutoff Aug 31, 2025
Release Date Mar 19, 2026
Try GPT-5.4 Nano for free
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 | 28.3% |
| SciCode Scientific programming | 47.2% |
| IFBench Instruction following | 75.9% |
| LCR Long-context reasoning | 76.7% |
| Terminal-Bench Hard Agentic terminal tasks | 42.4% |
| τ²-Bench Tool use / agents | 76.0% |
Scores sourced from Artificial Analysis.
Find other OpenAI models →
GPT-6.1 Terra
GPT-6.1 Terra is a mid-tier OpenAI model that follows GPT-5.6 Terra in the Terra line. We found no official OpenAI announcement or published benchmarks for it, so details here come from the provider listing and press reports. It accepts text, image, and file input and returns text. It has a 1,050,000-token context window, 128,000 max output tokens, and supports tool calling. Pricing is $1 per million input tokens and $5 per million output tokens, lower than GPT-6.1 Sol's $2 and $10. The Information reports that OpenAI intends Terra to outperform GPT-6.1 Sol at a lower price, though we could not verify this. It suits cost-sensitive agentic and document workloads.
ChatGPT-6.1 Sol
GPT-6.1 Sol is OpenAI's mid-tier model in the GPT-6 family, released September 29, 2026 as an update to GPT-6 Sol. It sits below the flagship GPT-6 Astra, takes text and image input, supports tool calling, and has a 1,050,000-token context window with 128,000 max output tokens. Pricing is unchanged from GPT-6 Sol at $2 per million input tokens and $10 per million output tokens, while scores are higher. It reaches 75.2% on DeepSWE 1.1 (68.8% for GPT-6 Sol), 71.4% on OSWorld 2.0 (64.4%), and 32.0% on GDP.pdf (28.0%). Its factual error rate at low reasoning effort fell from 11.4% to 7.7%. In one third-party comparison table, GPT-6 Astra scores 74.8% on DeepSWE and 73.5% on OSWorld at roughly five times the price. GPT-6.1 Sol suits coding agents, computer use, document question answering, and workflow automation where cost per task matters.
ChatGPT-6.1 Sol Pro
GPT-6.1 Sol Pro is OpenAI's higher-effort configuration of GPT-6.1 Sol, the mid-tier model in the GPT-6 family. Based on how OpenAI handled GPT-6 Sol Pro, it is likely the same underlying model with reasoning mode set to pro, though OpenAI's documentation for the 6.1 release does not confirm this. It has a 1,050,000-token context window and 128,000 max output tokens, at $2 per million input tokens and $10 per million output tokens. Supported parameters include reasoning effort, tools, tool choice, structured response formats, seed, and streaming. Sol Pro is intended for complex requests such as agentic coding, computer use, and workflow automation, where answer quality matters more than latency. We found no published benchmarks for the Pro configuration itself.
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.
GPT-5.4 Nano is free to try with a Puter account. Every account includes a free AI allowance, and you can chat with it in the playground on this page. You can upgrade your account anytime for a larger allowance.
GPT-5.4 Nano is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.
| Price per 1M tokens | |
|---|---|
| Input | $0.2 |
| Output | $1.25 |
GPT-5.4 Nano was created by OpenAI and released on Mar 19, 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 has a knowledge cutoff date of Aug 31, 2025. This means the model was trained on data available up to that date.
GPT-5.4 Nano accepts the following input types: text, image. It produces: text.
Yes, GPT-5.4 Nano supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
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.
Add GPT-5.4 Nano to your app for free
Developers can integrate GPT-5.4 Nano for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.