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OpenAI

OpenAI: GPT-6 Astra

openai/gpt-6-astra

Access GPT-6 Astra 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-6-astra"
}).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-astra"
        }).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-6-astra",
    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-6-astra",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

GPT-6 Astra is OpenAI's most capable model, released in September 2026 as the successor to GPT-5.6 Sol. It targets complex reasoning, coding, computer use, research, and document creation, taking text and image input over a 1,050,000-token context window and supporting tool calling.

OpenAI reports Astra saturates FrontierMath Tier 4 at 97.6% and ARC-AGI-3 at 99.9%, and cuts its hallucination rate from 92% to 51% at max effort versus GPT-5.6 Sol. It is the first OpenAI model to reach the Critical cybersecurity level under OpenAI's Preparedness Framework, scoring 100% on ExploitBench versus 78.5% for GPT-5.6 Sol.

Independent testing from Artificial Analysis puts Astra's Intelligence Index at 61.2, roughly level with GPT-5.6 Sol and behind Claude Fable 5.1's 65.7. Input costs $10 per million tokens and output $50 per million, 2.5 times GPT-5.6 Sol's rate.

Context Window 1M

tokens

Max Output 128K

tokens

Input Cost $10

per million tokens

Output Cost $50

per million tokens

Input text, image

modalities

Tool Use Yes

 

Knowledge Cutoff Apr 30, 2026

 

Release Date Sep 4, 2026

 

Model Playground

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

Chat openai/gpt-6-astra
OpenAI
Chat with GPT-6 Astra
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Benchmarks

How GPT-6 Astra performs on standard evaluations.

Artificial Analysis
Intelligence Index
61.2
Better than 98% of tracked models
Artificial Analysis
Coding Index
76.9
Better than 96% of tracked models
BenchmarkScore
GPQA Diamond Graduate-level science Q&A
96.1%
Humanity's Last Exam Cross-domain reasoning
54.7%
SciCode Scientific programming
54.1%
LCR Long-context reasoning
74.3%

Scores sourced from Artificial Analysis.

Find other OpenAI models

Chat

GPT-6 Astra Pro

GPT-6 Astra Pro is OpenAI's higher-performance configuration of GPT-6 Astra, offered in ChatGPT to Pro, Business, and Enterprise subscribers. OpenAI has not published what separates it from the base model, whether a higher reasoning-effort ceiling, more compute per response, or fewer usage limits. It shares the same 1,050,000-token context window, 128,000 max output tokens, and $10/$50 per million token input/output pricing as base GPT-6 Astra. That overlap suggests Pro may simply be a higher-effort configuration of the same underlying model, a pattern also seen with GPT-5.6 Sol Pro. Base GPT-6 Astra supports adjustable reasoning effort from low to max, function calling, and image input, with an April 30, 2026 knowledge cutoff. It scores 67 on the Coding Agent Index and 61 on the Intelligence Index, near GPT-5.6 Sol and a few points behind Claude Fable 5.1. Whether these figures apply to the Pro configuration specifically is undocumented.

Chat

GPT-5.6 Sol

GPT-5.6 Sol is OpenAI's flagship model in the GPT-5.6 family, sitting above Terra and Luna as the most capable and most expensive of the three. It reached general availability on July 9, 2026. Sol is built for agentic coding, cybersecurity research, and long-horizon autonomous work. OpenAI reports it sets a new state of the art on Terminal-Bench 2.1, a benchmark for command-line workflows that require planning, iteration, and tool coordination, and describes it as the most capable model yet for cybersecurity tasks such as vulnerability research. The GPT-5.6 family adds a max reasoning effort setting, an ultra mode that coordinates subagents on complex tasks, and Programmatic Tool Calling in the Responses API. Sol carries a 1.05M token context window, 128,000 max output tokens, and a February 16, 2026 knowledge cutoff, making it best suited for teams that need the highest available capability and can absorb its premium per-token cost.

Chat

GPT-5.6 Sol Pro

GPT-5.6 Sol Pro is OpenAI's highest-capability configuration of GPT-5.6 Sol, the flagship tier in the GPT-5.6 family alongside the smaller Terra and Luna models. Sol is built for complex reasoning, coding, scientific work, and long-running agentic tasks. Sol Pro is not a separate, larger model. It runs the same underlying model as base Sol with reasoning mode set to pro for higher-quality responses on harder problems, which is why it shares identical pricing with the base model, $5 per million input tokens and $30 per million output tokens, unlike GPT-5.4 Pro and GPT-5.5 Pro, which cost several times more than their base models. It carries the same 1,050,000-token context window and 128,000 max output tokens as GPT-5.6 Sol, and supports image input, function calling, and the Responses API tool suite. It launched July 9, 2026, aimed at the hardest, longest-running tasks where response quality matters more than cost or latency.

Frequently Asked Questions

How do I use GPT-6 Astra?

You can access GPT-6 Astra 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.

Is GPT-6 Astra free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add GPT-6 Astra to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for GPT-6 Astra?
GPT-6 Astra costs $10 per 1M input tokens and $50 per 1M output tokens.
Price per 1M tokens
Input$10
Output$50
Who created GPT-6 Astra?

GPT-6 Astra was created by OpenAI and released on Sep 4, 2026.

What is the context window of GPT-6 Astra?

GPT-6 Astra 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 Astra?

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

What is the knowledge cutoff of GPT-6 Astra?

GPT-6 Astra has a knowledge cutoff date of Apr 30, 2026. This means the model was trained on data available up to that date.

What types of input can GPT-6 Astra process?

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

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

Yes, GPT-6 Astra 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 Astra perform on benchmarks?

GPT-6 Astra scores 61.2 on the Artificial Analysis Intelligence Index, outperforming 98% of tracked models. On coding, it scores 76.9 (outperforms 96% of models).

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

Yes — the GPT-6 Astra 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

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