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GPT-6 Astra

AI Chatbots Paid

OpenAI's sixth-generation flagship model released 2026/9/3 (PT): billed as the world's most intelligent and aligned model, built for long-horizon agentic work and computer use; first model to reach the Critical cybersecurity threshold; 99.9% ARC-AGI-3, 97.6% FrontierMath Tier 4, 100% ExploitBench; API $10/$50

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Disclaimer: Review content represents our editorial team's views and experience, not commercial recommendation or investment advice. Product info and pricing may change; refer to official sources.

Overview

GPT-6 Astra is OpenAI's next-generation flagship model officially released on September 3, 2026 (PT), framed by the company as "A New Generation of Intelligence" and billed as "the world's most intelligent and aligned model." Astra means "stars" in Latin, and the pre-launch teaser read "The stars are almost aligned." At the media briefing, president Greg Brockman closed with "Welcome to the AGI era," saying that in hindsight Astra may well be seen as the moment the AGI era began — the first time OpenAI directly tied one of its releases to the AGI narrative, and the most talked-about aspect of the launch.

The defining shift of this generation is moving from answering questions to completing work. Astra is not limited to conversation and generation: given a high-level goal ("turn this financial analysis into a deck" or "build a game prototype and test whether it runs"), it decomposes the task, calls tools, and keeps executing based on on-screen feedback until delivery. It operates computers directly — filling web forms, updating CRM records, managing calendars, doing online research, opening Python notebooks to analyze scientific data, building websites and running front-end QA, installing software and debugging errors shown on screen. On OSWorld 2.0, Astra scores 72.6% (GPT-5.6 Sol: 65.7%), and in latency simulations it averaged about 40 minutes per task versus roughly 75 minutes for Sol — nearly 47% faster. This is the first time an AI computer operator has approached the productivity threshold where handing it the work beats doing it yourself. OpenAI's 2026/9/9 work-focused brief positions Astra as the next generation of intelligence for work, with per-task API cost running about 9% below Sol and 63% below Claude Fable 5.1, and computer-use safety evaluations showing 89% fewer unintended outcomes than Sol and 74.7% fewer than Fable 5.1; enterprise admins can enable Astra under existing rate cards and agreements, off by default at launch, with new controls for approved sites and desktop apps, upload/download management and browsing history. On 2026/10/6 OpenAI and Ironclad detailed how they train and evaluate AI agents on complex contract workflows to advance computer use in professional work.

Reasoning shows what looks like a near-saturation jump. On ARC-AGI-3 (abstract reasoning and learning in unfamiliar environments, widely treated as a core proxy for general intelligence), Astra scores 99.9% versus 7.8% for GPT-5.6 Sol — a more than tenfold improvement in a single generation. On research-level mathematics (FrontierMath Tier 4 v2), Astra reaches 97.6% (Sol: 83.0%; Claude Fable 5.1: 87.8%), and OpenAI reports Astra contributed two new theoretical results on prime gaps — improving the bound on short prime gaps from 240 to 186, and improving a long-standing bound that had stood for over 80 years. In coding, Astra scores 57.9% on Terminal-Bench 4.0 (Sol: 37.3%; Fable 5.1: 55.8%), 64.6% on the scientific-workflow benchmark Terminal-Bench Science 0.1 (Sol: 22.4%), 74% on DeepSWE v1.1, and solves 99.2% of SRE-Bench reverse-engineering tasks within four attempts. It took first place on Arena's Image-to-WebDev leaderboard on 2026/9/15 with 1733 points (Claude Fable 5.1 second at 1710), and after broad rollout on 2026/9/5 it hit No.1 on the Code Arena WebDev leaderboard, 35 points ahead of Claude Fable 5.1, while solving 5 previously open math problems in an open-problem evaluation.

Cybersecurity is the most distinctive card of this generation. Astra is the first OpenAI model to reach the Critical capability threshold under the company's Preparedness Framework — meaning that, with appropriate tools and access, it can autonomously discover previously unknown security flaws and build exploit chains. It scores a perfect 100% on ExploitBench (Sol: 78.5%); in an internal test built on real vulnerabilities disclosed between June and August 2026, its arbitrary code execution rate far exceeded Sol's, and during evaluation it autonomously discovered and used two previously unknown zero-day vulnerabilities (both disclosed to maintainers). OpenAI delayed parts of the release by several weeks to strengthen safeguards, restricted the most advanced offensive capabilities to the Daybreak program, and is expanding access for defensive use only. Alignment numbers are equally striking: 0% attempts to exceed authorized goals (Sol: 48%), a 2.4% misuse rate in an internal computer-use safety benchmark (Sol: 22.0%), and a 4.2% hallucination rate (Sol: 12.2%).

Availability and pricing: Astra first opened on 9/3 to a limited set of organizations in the Daybreak cybersecurity program, with rollout to all ChatGPT Plus / Pro / Business / Enterprise subscribers in the coming days, plus access via the OpenAI API (model id gpt-6-astra) and Amazon Bedrock; Pro and Enterprise tiers also get GPT-6 Astra Pro. Standard API pricing is $10 per million input tokens and $50 per million output tokens — 2.5x GPT-5.6 Sol's current price ($4/$20) and roughly on par with Claude Fable 5.1 ($10/$50) — with cache discounts, a Fast mode at up to 2.5x speed for 2x price, and five reasoning-effort levels. Independent data from Artificial Analysis adds nuance: Astra's intelligence index (61.2) is only slightly above Sol (60.9) while producing about 10% fewer output tokens, so simple single-task costs may run about 75% higher than Sol; yet within long-horizon Codex tasks, per-task cost lands close to or below both Sol and Claude Fable 5 — whether it feels expensive depends on how you use it. The GPT-6 family has since widened: on 2026/9/22 OpenAI added the mid-tier GPT-6 Sol ($2/$10) and light-tier GPT-6 Luna ($0.10/$0.50), both at permanent pricing 50% below their GPT-5.6 counterparts, and on 2026/9/29 GPT-6.1 Sol was released. Astra Ultrafast opened on 2026/10/2, available in the OpenAI API and to eligible ChatGPT Work and Codex users and running on NVIDIA Blackwell GPUs. On 2026/10/3 OpenAI published a practical guide to building with the GPT-6 family, covering how to choose between GPT-6 Astra, GPT-6.1 Sol and GPT-6 Luna, how to pair reasoning levels with speed modes, and how to manage long-running tasks.

Key Features

Use Cases

Pros

Pricing

Standard API: $10 per million input tokens and $50 per million output tokens — 2.5x GPT-5.6 Sol ($4/$20) and roughly on par with Claude Fable 5.1 ($10/$50). Cached input ~$1 per million tokens (~90% discount); cache writes carry ~25% premium. Fast mode: up to 2.5x standard processing speed at 2x the price. Reasoning effort: five levels from low to max to trade depth against cost. Subscriptions: Astra usage is included in existing allowances, with paid credits beyond; Pro/Business/Enterprise tiers include GPT-6 Astra Pro. Channels: OpenAI API (gpt-6-astra) and Amazon Bedrock; Astra Ultrafast (2026/10/2) is available in the OpenAI API and to eligible ChatGPT Work and Codex users, running on NVIDIA Blackwell GPUs. Family pricing: GPT-6 Sol at $2 per million input tokens and $10 per million output, and GPT-6 Luna at $0.10 and $0.50, both permanent pricing at 50% below their GPT-5.6 counterparts (2026/9/22). Independent note: Artificial Analysis measures Astra's intelligence index at 61.2 (Sol: 60.9) with ~10% fewer output tokens; because unit price is 2.5x, simple single-task costs may run ~75% higher than Sol, while long-horizon Codex tasks land close to or below Sol and Claude Fable 5. OpenAI's 2026/9/9 work brief reports per-task API cost about 9% below Sol and 63% below Claude Fable 5.1.

Summary

GPT-6 Astra, released by OpenAI in September 2026, is the flagship model that shifts the focus from conversation and generation to complete agentic work: it operates computers directly, decomposes goals and executes long-horizon tasks. It scores 99.9% on ARC-AGI-3 and 97.6% on FrontierMath Tier 4, is OpenAI's first model to reach the Critical cybersecurity threshold (100% on ExploitBench), and posts the company's best alignment and control numbers to date. API pricing is $10 per million input and $50 per million output tokens — 2.5x GPT-5.6 Sol and on par with Claude Fable 5.1. Since launch the GPT-6 family has expanded to GPT-6 Sol and GPT-6 Luna (2026/9/22) and GPT-6.1 Sol (2026/9/29), Astra Ultrafast opened on NVIDIA Blackwell (2026/10/2), and Astra now also powers the upgraded ChatGPT Voice. It suits developers and enterprises that need deep reasoning, long-horizon agent execution, or a high safety boundary; cost-sensitive or lightweight users may still prefer Sol/Terra/Luna.

Version History

Category
AI Chatbots
Pricing
Paid
Tags
OpenAI · GPT-6 · Astra
Website
openai.com

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