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OpenAI: GPT-5.6 Luna Pro

openai/gpt-5.6-luna-pro

Try GPT-5.6 Luna Pro 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-5.6-luna-pro"
}).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-5.6-luna-pro"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

Model Card

GPT-5.6 Luna Pro is OpenAI's extended-reasoning configuration of GPT-5.6 Luna, the fastest and lowest-cost tier in the three-model GPT-5.6 family alongside Terra and Sol, released July 2026.

Rather than a separate, larger model, Luna Pro is the same underlying Luna model run with its reasoning mode set to pro, trading speed for more reasoning time on harder requests. It is priced at $0.10 per million input tokens and $0.60 per million output tokens, below base Luna's $1/$6 pricing.

It carries a 1,050,000 token context window, 128,000 max output tokens, and support for function calling. Best suited for teams already using Luna for high-volume, latency-sensitive work such as summarization, drafting, and routine automation who need higher accuracy on a subset of harder requests without switching models or providers.

Context Window 1M

tokens

Max Output 128K

tokens

Input Cost $0.2

per million tokens

Output Cost $1.2

per million tokens

Input text, image

modalities

Tool Use Yes

 

Knowledge Cutoff Feb 16, 2026

 

Release Date Jul 9, 2026

 

Try GPT-5.6 Luna Pro for free

Try GPT-5.6 Luna Pro instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat openai/gpt-5.6-luna-pro
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GPT-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.

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GPT-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.

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GPT-6 Sol

GPT-6 Sol is OpenAI's mid-tier model in the GPT-6 family, released September 22, 2026 as a faster, cheaper counterpart to the flagship GPT-6 Astra, built on the same training methods. OpenAI positions it for complex development work that developers run repeatedly, such as building features, reviewing code, debugging, and analyzing data. OpenAI reports Sol scoring 68.8% on the DeepSWE 1.1 coding benchmark, 60.5% on OSWorld 2.0 for computer use at xhigh effort, and 56.4% on Agents' Last Exam, a test of professional work across 55 sub-industries. The company says Sol makes about half as many factual errors as GPT-5.6 Sol, approaching Astra-level reliability at a lower cost. At $2 per million input tokens and $10 per million output tokens, half of GPT-5.6 Sol's rate, Sol matches Claude Sonnet 5's standard pricing, though no published benchmark compares the two models directly.

Frequently Asked Questions

How do I use GPT-5.6 Luna Pro?

You can access GPT-5.6 Luna Pro 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-5.6 Luna Pro for free?

GPT-5.6 Luna Pro 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-5.6 Luna Pro API free for developers?

GPT-5.6 Luna Pro 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-5.6 Luna Pro?
GPT-5.6 Luna Pro costs $0.2 per 1M input tokens and $1.2 per 1M output tokens.
Price per 1M tokens
Input$0.2
Output$1.2
Who created GPT-5.6 Luna Pro?

GPT-5.6 Luna Pro was created by OpenAI and released on Jul 9, 2026.

What is the context window of GPT-5.6 Luna Pro?

GPT-5.6 Luna Pro 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-5.6 Luna Pro?

GPT-5.6 Luna Pro can generate up to 128K tokens in a single response.

What is the knowledge cutoff of GPT-5.6 Luna Pro?

GPT-5.6 Luna Pro has a knowledge cutoff date of Feb 16, 2026. This means the model was trained on data available up to that date.

What types of input can GPT-5.6 Luna Pro process?

GPT-5.6 Luna Pro accepts the following input types: text, image. It produces: text.

Does GPT-5.6 Luna Pro support tool use (function calling)?

Yes, GPT-5.6 Luna Pro supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

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

Yes — the GPT-5.6 Luna Pro 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-5.6 Luna Pro to your app for free

Developers can integrate GPT-5.6 Luna Pro for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.

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