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GPT-6 Astra Pro

GPT-6 Astra Pro is the higher-tier sibling in OpenAI's GPT-6 "Astra" lineup, introduced alongside the base Astra model on September 5, 2026 as part of a coordinated, multi-channel release. Rather than a single storefront launch, the model was rolled out simultaneously across ChatGPT, the OpenAI API, and the Azure and AWS Bedrock cloud partnerships, giving organizations a choice of how they consume the new capabilities. The Pro variant is positioned specifically for ChatGPT Pro, Business, and Enterprise users, signaling that it is intended for serious production and team-based workloads rather than casual experimentation. Because availability is being staged, organizations should expect a phased onboarding rather than an immediate universal switch-on, with broader access to ChatGPT Plus, Pro, Business, and Enterprise tiers following the initial organizational rollout.

In practical terms, GPT-6 Astra Pro is best understood as OpenAI's flagship GPT-6 option for customers who need the full-strength version of the new architecture, including its longer-context reasoning and richer tooling surface. Its placement on Pro, Business, and Enterprise plans reflects a focus on advanced workflows such as long-document analysis, agentic tool use, structured generation, and integration into cloud-hosted products through Azure and AWS Bedrock. Teams evaluating it should weigh the staged availability and the enterprise access controls OpenAI is using to manage the rollout against the productivity upside of being on the leading edge of the GPT-6 generation. For groups already invested in OpenAI's ecosystem across chat, API, or cloud, Astra Pro offers a coherent path to adopt the new family without changing their underlying delivery channel.

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Provider
Venice AI
Model key
openai-gpt-6-astra-pro
Release date
Sep 5, 2026
Last updated
Sep 5, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$12.50
Output token cost
$62.50

Limits

Output tokens
128,000 tokens
Context window
1,050,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about GPT-6 Astra Pro

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Coverage

The emergent.sh excerpt confirms GPT-6 Astra launched on September 3, 2026, with phased availability. Enterprise customers in OpenAI's Daybreak cybersecurity program received access first, followed by the OpenAI API, Amazon Web Services, and ChatGPT Plus, Pro, Business, and Enterprise plans "in the coming days." OpenAI For developers, the model is callable as "gpt-6-astra" on the standard OpenAI API at $10 per million input tokens and $50 per million output tokens, with separate cache read/write rates and higher billing multiples for prompts above 272K input tokens. A Fast mode offers twice the speed at twice the standard price, and

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CoverageRelease Notes

According to the Times of India excerpt, OpenAI released GPT-6 Astra with a focus on computer use, software engineering, science, cybersecurity, and professional work, calling it the company's most intelligent and aligned model. It is rolling out first to a limited group of organizations before becoming available to Ch The excerpt reports Astra scored 72.6% on OSWorld 2.0 completing tasks in about 40 minutes, compared with 65.7% and roughly 75 minutes for GPT-5.6 Sol. On Mind2Web, Astra completed tasks 1.9 times faster when combined with an updated Codex system. The article also briefly notes OpenAI introduced GPT-6 Astra Pro for sel

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CoverageBenchmark

OpenAI's GPT-6 Astra launched as the successor to GPT-5.6 Sol, positioned as a frontier flagship for reasoning, computer use, and agentic work. According to the supplied DataCamp excerpt, Astra is priced at $10 per million input tokens and $50 per million output tokens, with the API model string "gpt-6-astra". The laun On benchmarks, the excerpt reports Astra scoring 72.6% on OSWorld 2.0 at roughly 47% less time per task than GPT-5.6 Sol, saturating FrontierMath Tier 4 at 97.6%, and hitting 100% on ExploitBench. An ARC-AGI-3 99.9% result is noted to depend on a stateful, expensive harness, with stateless API calls scoring far lower.

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