# OpenAI Soft-Releases GPT‑6 Astra > Source: > Published: 2026-09-04 01:35:24+00:00 3rd September 2026 - Link Blog ** GPT‑6 Astra** ( [via](https://news.ycombinator.com/item?id=49554643)) GPT-6 Astra is "rolling out today to a limited set of organizations and over the coming days will become available to all ChatGPT Plus, Pro, Business, and Enterprise users, as well as through the OpenAI API and AWS" - I've not tried it yet myself, so I don't have a great deal to say about it yet. It's going to be API priced at the same rate as Claude Fable 5 and 5.1: $10/million input and $50/million output. This is clearly OpenAI's Fable competitor, and appears to score higher than Fable on most of OpenAI's self-reported benchmarks. Most impressively, Astra scores 99.9% on the recent (released in March) [ARC-AGI 3 benchmark](https://arcprize.org/arc-agi/3) - though notably Fable 5 does not yet have a published result, and the [ARC-AGI blog notes](https://arcprize.org/blog/astra) that the 99.9% score was achieved for $19K using OpenAI's custom "Provider Adapter harness", while the default ARC-AGI harness scored 62.7% for $26K. The Provider Adapter harness preserves opaque reasoning state between requests and uses compaction for longer conversations, allowing the model to reuse prior work. Unsurprisingly, given [the recent Hugging Face incident](https://simonwillison.net/tags/openai-hugging-face-incident/), Astra is a beast at security tasks. It scores 100% on ExploitBench (GPT-5.6 Sol got 78.5%), 42.4% on ExploitGym (Sol got 30.3%), and 99.2% within four attempts on SRE-Bench binary reverse engineering compared to Sol's 68.7%. It's also better at long context: on OpenAI's eight-needle benchmark it got 100% at 256K–512K tokens and 96.3% at 512K–1M tokens. OpenAI may have vanquished one of the ongoing challenges with long context processing. It doesn't win at everything though. [Artificial Analysis](https://twitter.com/ArtificialAnlys/status/2095595489031000350) note that Astra is still beaten by Fable on their Intelligence Index: Sits beside GPT-5.6 Sol in Intelligence: GPT-6 Astra scores equal to GPT-5.6 Sol in the Index at 61. This is 5 points lower than Claude Fable 5.1 (max with fallback). The model also trails Meta’s newly released Muse Spark 1.3 (max). It did better on their Coding Agent Index: Leads Coding Agent Index cost efficiency frontier: At max effort, GPT-6 Astra costs about the same as GPT-5.6 Sol (max) while scoring 2 points higher on the Index. Per task, the model is less than half the cost of Claude Fable 5, for the same score. I'll write more about Astra once I get access to it. The API model label once it rolls out will be `gpt-6-astra` . ## Recent articles [Claude's new system prompt really doesn't want to reproduce song lyrics](/2026/Sep/2/claudes-new-system-prompt/)- 2nd September 2026[Claude Fable 5.1 made me a really nice animated pelican](/2026/Sep/1/claude-fable-5-1/)- 1st September 2026[Understanding ChatGPT Work](/2026/Aug/30/understanding-chatgpt-work/)- 30th August 2026