# OpenAI — GPT-6 Astra

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- This model's page: https://forck.live/models/gpt-6-astra
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## Model

- Name: GPT-6 Astra
- Company: OpenAI (openai.com)
- Launch post: GPT-6 Astra: A new generation of intelligence — https://forck.live/items/8138-gpt-6-astra-a-new-generation-of-intelligence
- Announced: 2026-09-03T11:00:00+00:00
- Launch source: https://openai.com/index/gpt-6-astra/
- Launch chosen by: a person, pinned in the model registry
- Released (per models.dev): 2026-09-04
- Listed (per OpenRouter): 2026-09-04
- Open weights: no
- Posts about it: 3
- Outlets named under its posts: 8
- Also written: Astra
- Variant: GPT-6 Astra Pro — https://forck.live/models/gpt-6-astra-pro
- OpenRouter id: openai/gpt-6-astra — https://openrouter.ai/openai/gpt-6-astra

## Posts about it

_OpenAI's own posts whose title names GPT-6 Astra, and its launch post, in the record's order: dated newest first, undated last. The record reads the newest 50 first-party posts mentioning the model, every company's together, so a model mentioned more often than that lists the newest of them._

Every entry is one first-party announcement, and carries the same eight fields
in this order before any others:

    Company · Announced · Category · Coverage · Announcement · Group · Source · Record

`Source` is the company's own page the announcement was traced to and `Record`
is this site's page for it. Both are safe to cite.

`Coverage` is a number of outlets, or `not counted` — which means this record
reached no count of its own, never that nobody wrote about it.

`Category` is this tracker's own analysis, and is authoritative wherever it is
stated. `not stated` means either that nothing has analysed the post yet or
that the analysis placed it outside this taxonomy; neither is a verdict about
the announcement.

`Announcement` is whether the post is news of something the company did, rather
than a how-to, a customer story, a changelog listing or a staffing note.

`Group` is which of this record's groups the entry falls in, carried on the
entry itself so it holds where the groups are headings and where they are not.
One of: `models`, `covered`, `announcements`, `routine`.

Anything after `Record` is held detail that only some announcements carry.

### OpenAI — Basis completes a tax workbook 2x faster with GPT-6 Astra

- Company: OpenAI (openai.com)
- Announced: 2026-09-28
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://openai.com/index/basis-tax-workbook-with-astra
- Record: https://forck.live/items/14741-basis-completes-a-tax-workbook-2x-faster-with-gpt-6-astra
- Subject: GPT / ChatGPT / API

Basis, which builds AI agents for accountants, reported that GPT-6 Astra completed a 50-tab tax workbook in half the time of GPT-5.6 Sol and improved its internal evaluation scores by about 20%. The company attributed the gains to GPT-6 Astra's better understanding of user intent and its ability to adjust reasoning effort during tasks.

### OpenAI — Harvey turns legal context into stronger drafts with GPT-6 Astra

- Company: OpenAI (openai.com)
- Announced: 2026-09-23T12:00:00+00:00
- Category: capability-change
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://openai.com/index/harvey-from-context-to-confidence-with-astra
- Record: https://forck.live/items/13457-harvey-turns-legal-context-into-stronger-drafts-with-gpt-6-astra
- Subject: GPT / ChatGPT / API

Harvey, a legal AI platform, now uses GPT-6 Astra to generate more structured, context-aware legal documents with improved formatting and the ability to incorporate lawyer preferences directly into the drafting workflow.

### OpenAI — GPT-6 Astra: A new generation of intelligence

- Company: OpenAI (openai.com)
- Announced: 2026-09-03T11:00:00+00:00
- Category: new-model
- Coverage: not counted
- Announcement: yes
- Group: models
- Source: https://openai.com/index/gpt-6-astra/
- Record: https://forck.live/items/8138-gpt-6-astra-a-new-generation-of-intelligence
- Subject: GPT / ChatGPT / API

OpenAI introduced GPT-6 Astra, described as its most intelligent and aligned model, with state-of-the-art capabilities in computer use, coding, cybersecurity, and science.

## Who reported on it

_Outlets this record can name and link, under the first-party post each one covered. Their number is `Outlets named under its posts` above, and the rows are not totalled again. A post's own `Coverage` can be higher: it counts outlets the signal saw that this record cannot name and link._

### On: GPT-6 Astra: A new generation of intelligence

Record: https://forck.live/items/8138-gpt-6-astra-a-new-generation-of-intelligence

- Al Jazeera — OpenAI unveils latest AI model amid rising scrutiny and safety concerns: https://aljazeera.com/economy/2026/9/4/openai-unveils-gpt-6-astra-amid-rising-scrutiny-and-safety
- Computerworld — OpenAI launches GPT-6 Astra, its first model to cross a critical cybersecurity threshold: https://computerworld.com/article/4218691/openai-launches-gpt-6-astra-its-first-model-to-cross-a-critical-cybersecurity-threshold-3.html
- Ghacks: https://ghacks.net/2026/09/04/openai-launches-gpt-6-astra-claiming-a-new-frontier-in-computer-use-coding-and-science
- Indiatimes — OpenAI launches new Astra model amid growing scrutiny over agents' safety - The Economic Times: https://economictimes.indiatimes.com/tech/artificial-intelligence/openai-launches-new-astra-model-amid-growing-scrutiny-over-agents-safety/articleshow/133750683.cms
- Nextbigwhat — GPT-6 Astra: https://nextbigwhat.com/a-new-generation-of-intelligence
- The Mac Observer: https://macobserver.com/news/openai-launches-gpt-6-astra-says-we-may-have-entered-the-agi-era
- Thedeepview — OpenAI's Astra leans into agentic tasks and safety: https://thedeepview.com/articles/openai-s-astra-leans-into-agentic-tasks-and-safety
- Unite — OpenAI Releases GPT-6 Astra, Its First Model Rated Critical for Cybersecurity: https://unite.ai/openai-releases-gpt-6-astra-its-first-model-rated-critical-for-cyber

## Where it runs

_Other companies' own announcements naming GPT-6 Astra and OpenAI — each is that company's post, not OpenAI's._

### Google Cloud — Google Cloud expands model choice and flexibility, bringing OpenAI models to customers

- Company: Google Cloud (cloud.google.com)
- Announced: 2026-10-21T12:00:00+00:00
- Category: availability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://cloud.google.com/blog/products/ai-machine-learning/google-cloud-brings-openai-models-to-customers/
- Record: https://forck.live/items/25912-google-cloud-expands-model-choice-and-flexibility-bringing-openai-models-to
- Subject: Gemini Enterprise

Google Cloud is adding OpenAI's GPT-6 Astra, GPT-6.1 Sol and GPT-6 Luna models to its model garden, giving enterprise customers a choice of closed-source models on one platform. The company says it is now the only hyperscale cloud provider offering access to all three leading closed source LLMs, alongside more than 200 first-party, third-party and open models. Google describes Astra as built for demanding coding, computer use, professional tasks and scientific research, Sol as near-Astra intelligence at lower cost, and Luna as a fast, cost-efficient model for everyday work at scale. The models are rolling out now in private preview to select enterprise customers, and customers can build with them through Google's APIs or connect local Codex CLI and Desktop workflows to the Gemini platform for inference. Because the models are transacted through Google Cloud Marketplace, usage appears on a single Google Cloud invoice, draws down existing cloud commitments and counts toward Flexible Savings Plans across model providers. Google says customer prompts, context and outputs stay within a designated data perimeter and are never used to train foundation models, with Zero Data Retention options coming soon, and that OpenAI models run on dedicated Google Cloud infrastructure with Confidential Compute also coming soon.

### Amazon — Access OpenAI GPT models on Amazon Bedrock from Canada with cross-Region inference

- Company: Amazon (amazon.com)
- Announced: 2026-10-20T16:42:53+00:00
- Category: availability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://aws.amazon.com/blogs/machine-learning/access-openai-gpt-models-on-amazon-bedrock-from-canada-with-cross-region-inference/
- Record: https://forck.live/items/25302-access-openai-gpt-models-on-amazon-bedrock-from-canada-with-cross-region
- Subject: Bedrock / Nova

Amazon Bedrock customers in Canada can now reach OpenAI's GPT-5.6, GPT-6 and GPT-6.1 models through cross-Region inference, which routes requests from a Canadian source Region to other Regions for processing. The models are available from the Canada (Central) and Canada West (Calgary) Regions, and inference stays within North America under the US geographic profile. Cross-Region inference is a capacity mechanism: the application calls the Bedrock Runtime endpoint in its own Region and Bedrock routes the request to a supported destination Region, drawing on a broader capacity pool to sustain throughput during demand spikes. The models accept text and image inputs, return text, and support a 1-million-token context window, reasoning mode, tool calling and prompt caching. They can be called through the OpenAI Responses API, the OpenAI Chat Completions API and the Amazon Bedrock Converse API on the bedrock-runtime endpoint. Two profile types are offered from Canada: the US geographic profile, which keeps processing in Canada and the US, and the global profile, which routes to supported commercial AWS Regions where the model is deployed. The global profile for the GPT-5.6 models is available only from ca-central-1, so ca-west-1 users must use the US geographic profile for those models.

### SenseTime — 商汤实测 GPT-6-Astra 并开源 SenseNova-RoboRSI：具身智能下一步怎么走？

- Company: SenseTime (sensetime.com)
- Announced: 2026-10-18T16:00:52+00:00
- Category: open-weight-release
- Coverage: not counted
- Announcement: yes
- Group: models
- Source: https://www.sensetime.com/cn/news/gpt-6-astra-sensenova-roborsi-20261019-1513
- Record: https://forck.live/items/24404-gpt-6-astra-sensenova-roborsi
- Title in English (translated by forck.live from zh): SenseTime tests GPT-6-Astra and open-sources SenseNova-RoboRSI: where does embodied intelligence go next?
- Subject: SenseNova / 商汤

SenseTime has open-sourced SenseNova-RoboRSI, a harness for reproducing embodied-AI evaluations, plus a 27B embodied model it says cuts task cost to 1/50 of GPT-6-Astra. The release follows a study of GPT-6-Astra across 12 simulator benchmarks and 8 real robots, which found that lifting step limits and allowing in-context learning pushed the model close to saturation on several leaderboards. In RoboDojo, nine tasks that had failed five times out of five succeeded five times out of five once the step cap was raised tenfold, without retraining. But the study puts the cost of that success in view: stacking bowls took about 131 minutes and roughly $19 of estimated inference, while putting a pen in a holder took 263 minutes and about $55. SenseTime says SenseNova-RoboRSI-27B-Preview scored 26.13 on RoboDojo at a 20.83% success rate, and on RoboCasa365 raised success from 26.0% to 46.5% while cutting task token cost by 73%. The harness packages benchmarks and their dependencies as Docker images behind a unified HTTP API, so researchers can reproduce end-to-end evaluations from a configuration file instead of deploying simulators by hand. SenseTime also reports that on real hardware GPT-6-Astra could operate all eight tested robots and adjust its own viewing angle, but still struggled with deformable materials, fine control and long-horizon navigation.

### Perplexity — Older models removed from the model docs; GPT-6 Astra and DeepSeek V4 Pro added

- Company: Perplexity (perplexity.ai)
- Announced: 2026-10-17T11:16:37+00:00
- Category: availability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://docs.perplexity.ai/docs/resources/changelog#october-2026
- Record: https://forck.live/items/23831-older-models-removed-from-the-model-docs-gpt-6-astra-and-deepseek-v4-pro-added
- Subject: Sonar

Perplexity has removed 14 older models from its Agent API documentation and pricing calculator, including several Claude, Gemini, and Grok variants, while adding OpenAI's GPT-6 Astra and its own DeepSeek V4 Pro. The removed models span Anthropic's Claude Opus 4-8 through Haiku 4-5, Google's Gemini 3 Flash Preview through 3.5 Flash Lite, and xAI's Grok 4.3 through 4.20 Multi-Agent. Perplexity recommends replacing them with newer versions such as Claude Opus 5-5, Gemini 4 Argon, or Grok 4.7. The newly listed GPT-6 Astra costs $10 per million input tokens and $50 per million output tokens, while DeepSeek V4 Pro is priced at $1.32 per million input tokens and is also available through the Orchestrator API.

### Perplexity — Ultrafast versions of GPT-6 Astra and SOL 6.1 are now available in Perplexity Computer for Max subscribers.

- Company: Perplexity (perplexity.ai)
- Announced: 2026-10-14T17:01:29+00:00
- Category: not stated
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://x.com/perplexity_ai/status/2110415710073819389
- Record: https://forck.live/items/24046-ultrafast-versions-of-gpt-6-astra-and-sol-6-1-are-now-available-in-perplexity

Both generate tokens faster, completing long Computer tasks sooner. Choose Astra or SOL 6.1 under Custom, then set speed to Ultrafast.

### Amazon — Accessing OpenAI GPT models on Amazon Bedrock with global cross-Region inference in Thailand, Malaysia, Singapore, Indonesia, and Taiwan

- Company: Amazon (amazon.com)
- Announced: 2026-10-12T17:52:22+00:00
- Category: availability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://aws.amazon.com/blogs/machine-learning/accessing-openai-gpt-models-on-amazon-bedrock-with-global-cross-region-inference-in-thailand-malaysia-singapore-indonesia-and-taiwan/
- Record: https://forck.live/items/19991-accessing-openai-gpt-models-on-amazon-bedrock-with-global-cross-region
- Subject: Bedrock / Nova

Amazon is making OpenAI's GPT-6 Sol, GPT-6 Luna and GPT-6 Astra available through Amazon Bedrock in five Asia-Pacific Regions, using global cross-Region inference to route requests across supported commercial AWS Regions where the model is deployed. The move addresses throttling that can occur when single-Region inference exceeds local capacity, giving teams in Thailand, Malaysia, Singapore, Indonesia and Taiwan broader access to Bedrock capacity. Users invoke the models by passing a global cross-Region inference profile ID in place of a model ID, with billing, quota tracking, CloudTrail and CloudWatch all staying in the source Region. The models accept text and image input, client-side tool use and prompt caching, and differ on reasoning effort levels.

### Amazon — Bring near-Astra intelligence to everyday work with GPT-6.1 Sol on Amazon Bedrock

- Company: Amazon (amazon.com)
- Announced: 2026-09-29T19:34:14+00:00
- Category: availability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://aws.amazon.com/blogs/machine-learning/bring-near-astra-intelligence-to-everyday-work-with-gpt-6-1-sol-on-amazon-bedrock/
- Record: https://forck.live/items/15068-bring-near-astra-intelligence-to-everyday-work-with-gpt-6-1-sol-on-amazon
- Subject: Bedrock / Nova

OpenAI's GPT-6.1 Sol is now generally available on Amazon Bedrock, offering stronger reasoning for agentic coding, computer use, and professional workloads. According to OpenAI, GPT-6.1 Sol matches GPT-6 Astra on the DeepSWE v1.1 benchmark at roughly one-fifth the cost per task and exceeds the best GPT-6 Sol score by 6.4 percentage points with lower reasoning effort. The model also improves on GPT-6 Sol in evaluations of transparency, user intent, and explicit restrictions.

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Record: https://forck.live/models/gpt-6-astra
Catalogue: https://forck.live/llms.txt
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