GPT-6 Astra in Practice: Tests, Use Cases, and Feedback

The post mocks someone for faking a "6.5 Astra" in a drawing app, saying GPT Image would have produced a convincing result if they had a ChatGPT subscription.

On the same prompt and goal, Astra finished a Blender task in 43 minutes with 61K output tokens, while Opus 5.5 took 1 hour 57 minutes and 507K tokens, with similar results but lower cost for Astra.

The author gave Fable 5.1 and GPT-6 Astra the same prompt and /goal to build a liquid glass chat UI, then shared a video of the results and asked viewers to judge who won.

A reposted comment says tasks that take Claude Opus 5.5 over an hour are completed by GPT-6 Astra using fewer tokens.

Using the same photo and drawing tool, the author compared hand-drawn portraits by GPT-6 Astra on the left and Claude Opus 5.5 on the right in Microsoft Paint.

The US government asked OpenAI and Anthropic not to give new frontier models to the UK's AI Security Institute until they have been tested by the US government, and Anthropic appears to have complied.

An official developer account posted a video showing GPT-6 Astra turning stacks of documents into structured legal drafts so lawyers can focus more on strategy.

The author says Astra has stronger raw intelligence at xhigh/max, clearly leads on STEM, while Opus 5.5 only edges ahead in coding and Astra remains unchallenged in computer use and vision.

A three-stage pipeline has code find anomalies, Kimi K3 read financial reports, and Astra run bull-versus-bear debates only on surviving targets, at about $450 a day.

A video test puts the newest Opus 5.5 and GPT-6 Astra through the same telepathy-style task for comparison.

The author places Astra in the analyst seat of a 10-agent pipeline to flag anomalies among 8,192 synthetic samples, not yet connected to real markets.

Instead of answering directly, the flow finds ambiguity, rewrites the task and confirms intent before solving; last month 40 of 90 tasks came back meaning something different.