Ship a Full-Stack App with One Prompt

Copy this prompt into your AI coding agent, or open it in one below.

Give this to your AI Create a to-do list app using Puter.js

Coding manually? see the guide

OpenAI

OpenAI: GPT-6 Luna

Try GPT-6 Luna 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-6-luna"
}).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-6-luna"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

Model Card

GPT-6 Luna is OpenAI's fast, low-cost model in the GPT-6 family, released September 22, 2026 alongside GPT-6 Sol as smaller, cheaper counterparts to the flagship GPT-6 Astra. OpenAI built both on the training methods behind Astra, carrying over its factuality and alignment gains into models meant for high-volume use.

Luna targets tightly scoped, high-volume work such as summarizing documents, extracting information, and answering straightforward questions. On DeepSWE 1.1, a coding benchmark, OpenAI reports Luna scoring 66.6%, close behind Sol's 68.8%. OpenAI also says that at higher reasoning-effort settings, Luna can match GPT-5.6 Sol's quality at roughly a hundredth of the cost.

At $0.10 per million input tokens and $0.50 per million output tokens, it costs 50% less on input and 58% less on output than GPT-5.6 Luna, positioning it for applications that run at scale rather than tasks needing peak accuracy.

Context Window 1M

tokens

Max Output 128K

tokens

Input Cost $0.1

per million tokens

Output Cost $0.5

per million tokens

Input text, image

modalities

Tool Use Yes

 

Knowledge Cutoff May 18, 2026

 

Release Date Sep 22, 2026

 

Output Speed 114

tokens / sec

Latency 120.04s

time to first token

Try GPT-6 Luna for free

Try GPT-6 Luna instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat openai/gpt-6-luna
OpenAI
Chat with GPT-6 Luna
Powered by Puter.js

Benchmarks

How GPT-6 Luna performs on standard evaluations.

Artificial Analysis
Intelligence Index
27.9
Better than 42% of tracked models
Domain Index
Finance & Accounting 33.9
Strategy & Ops 43.2
Legal 32.2
Healthcare & Medical 34.8
Engineering 33.3
Economics 34.5
BenchmarkScore
Humanity's Last Exam Cross-domain reasoning
38.5%
SciCode Scientific programming
54.6%
LCR Long-context reasoning
83.3%

Scores sourced from Artificial Analysis.

Find other OpenAI models →

Image

GPT Image 2.6 Flare

GPT Image 2.6 Flare is OpenAI's speed-oriented image generation and editing model, released November 4, 2026 in the GPT Image 2.6 family alongside GPT Image 2.6 Sunburst. OpenAI says both 2.6 models generate images 50% faster than before, and Flare can produce an image in as little as six seconds at low quality. OpenAI positions Flare for posters, product imagery, and other layout-focused work. The API supports image markup, so requests can mark specific areas to change, and a complexity setting that controls how much planning the model does. OpenAI recommends low complexity for most quick edits and medium or high for scenes with many elements or constraints. At low quality and 1024x1024 resolution, an image costs $0.0247.

Image

GPT Image 2.6 Sunburst

GPT Image 2.6 Sunburst is an image generation and editing model from OpenAI, released November 4, 2026 as part of the GPT Image 2.6 family alongside GPT Image 2.6 Flare. It takes text and image input and returns generated or edited images. OpenAI positions Sunburst for higher-quality generation and stronger consistency across edits, while Flare focuses on speed and layout quality. OpenAI says the 2.6 models generate images 50% faster than GPT Image 2.5. It is available through the OpenAI API and suits developers building campaign creative, product imagery, or multi-step editing workflows. At low quality and 1024x1024 resolution, an image costs $0.0247.

Chat

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.

Frequently Asked Questions

How do I use GPT-6 Luna?

You can access GPT-6 Luna 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.

Can I try GPT-6 Luna for free?

GPT-6 Luna 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.

Is the GPT-6 Luna API free for developers?

GPT-6 Luna 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.

What is the pricing for GPT-6 Luna?
GPT-6 Luna costs $0.1 per 1M input tokens and $0.5 per 1M output tokens.
Price per 1M tokens
Input$0.1
Output$0.5
Who created GPT-6 Luna?

GPT-6 Luna was created by OpenAI and released on Sep 22, 2026.

What is the context window of GPT-6 Luna?

GPT-6 Luna supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,100 pages of text.

What is the max output length of GPT-6 Luna?

GPT-6 Luna can generate up to 128K tokens in a single response.

What is the knowledge cutoff of GPT-6 Luna?

GPT-6 Luna has a knowledge cutoff date of May 18, 2026. This means the model was trained on data available up to that date.

What types of input can GPT-6 Luna process?

GPT-6 Luna accepts the following input types: text, image. It produces: text.

Does GPT-6 Luna support tool use (function calling)?

Yes, GPT-6 Luna supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

How does GPT-6 Luna perform on benchmarks?

GPT-6 Luna scores 27.9 on the Artificial Analysis Intelligence Index, outperforming 42% of tracked models.

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the GPT-6 Luna 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-6 Luna to your app for free

Developers can integrate GPT-6 Luna for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.

Get started How pricing works