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

A leak claims GPT-6.1 Astra was delayed for failing internal alignment tests, leaving OpenAI to lean on 6.1 Sol and the rest of its product line at DevDay.

A four-way choice between Fable 5.1, Opus 5.5, GPT-6 Astra and GPT-6.1 Sol asks which model the community rates most right now.

The author says Astra burns through tokens in half an hour and recommends GPT-6.1 Sol at High/Medium for daily work, calling Astra Xhigh only for final review, with a Codex setup prompt included.

A 55-minute interview clipped into a short video has Altman saying Astra removes the need to write prompts, that he runs a few hundred agents every night, and that the chat-style AI era is over.

A researcher had Opus 5.5 make figures and calculations and GPT-6 Astra write the final paper, yielding more counterexamples that strengthen Landreman's results, checked only by adversarial LLM review and not Lean.

He argues DevDay criticism is overblown: Dots is genuinely useful, GPT-6.1 Sol brings Astra to cheaper tiers, and a ChatGPT subscription unlocks many AI SaaS products.

Another near-identical poll post asks users to pick the strongest model among Fable 5.1, Opus 5.5, GPT-6 Astra and GPT-6.1 Sol.

A Japanese user tests Dots: it runs on GPT-6 Astra, connects to 4,000+ apps, and the first dot costs nothing extra, but Codex tasks still use normal usage limits.

Relaying Tibo's claims: Computer Use got 10x faster in a year through harness plus model changes, Astra was used to optimize parallelism and latency, and a second internal model, Guardian, watches over the main agent.

A Polish-language recap of three OpenAI announcements: the 24/7 cloud agent Dots (built on models including GPT-6 Astra), the five-times-cheaper GPT-6.1 Sol, and the collaborative ChatGPT Pages.

Given the same prompt to build what they think they look like, Claude Sonnet 5.5 and GPT-6 Astra produced very different results.

The author moved a scheduled Computer Use task to GPT-6.1 Sol High to scrape news from 14 paid sites, using 27.5M tokens and $4.5 in 25 minutes, under 5‰ of the weekly quota.