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

The author turned an old Surface into a wall display with an interface designed by Astra, and says the trick is to start with ChatGPT web plus image generation.

A long post argues for using Astra as the decision brain and cheaper models for execution, warning that Plus's 5-hour quota runs out in about 13 minutes on High.

An OpenAI staffer says users who were happy with Sol on high reasoning should move down to low or medium for Astra, since Astra on low performs better than Sol on high.

The poster asks why each new model beats the other lab's model launched just days earlier, and concludes benchmarks are vanity metrics.

A defender of Astra argues the prompt asked for 5-10x returns in a year, so the model picked high-risk lottery-style bets rather than making a stock-picking error.

Codex allows only 3 sub-agents by default, and the author gives the config setting to raise the limit to 64, claiming Astra finished a task in 19 minutes using 5% of the quota.

A user says Astra outputs messy, unformatted code unless told explicitly to format it, a problem no OpenAI model had before.

Given the same Captain Crunch ad prompt, Fable 5.1 produced a cinematic scene while Astra put a crouton on a blank page.

A user says GPT-6 Astra produced a launch video in a single shot and asks whether motion designers are in trouble.

The game SkyWake casts you as a dragon in the sky; the developer says the visuals are impressive but feels it lacks something AI cannot capture.

A reading of two OpenAI essays released the same day: one cites data showing agent work hours at 3x human hours, the other has chief scientist Jakub Pachocki calling for industry readiness for voluntary slowdown, and notes Astra lost 60% of its GPU quota over cyber capabilities.

The poster says Astra fixed a BridgeMind bug that Fable 5, Opus 5 and Grok 4.6 could not solve, and rebuilt an office and a racing game using a third of the tokens.