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

The guest describes OpenAI's side as short-term token efficiency: Astra finishes tasks faster but skips follow-ups, and over time Anthropic models produce more readable codebases.

Rerunning the AI-2027 formula with Epoch's latest ECI data gives Opus 5.5 a horizon of 11.7 hours and revises GPT-6 Astra from 16 to 10 hours, leaving both 7–8 weeks behind the frontier curve.

The user says Astra comes close to Opus 5.5 and is genuinely great, but its cost makes it practically unaffordable for regular users, so they are waiting for OpenAI to release a stronger model.

The author calls ChatGPT Astra 6 with computer use on ultra mode the first step-change in capability since Claude Code, while warning users never to give up their own understanding of what the model is doing.

A fitness boss video made with GPT Astra 6 characters and Seedance 2.5 motion got 17.9M views and $26,733, and the author breaks down the full workflow.

The post shares a graph-engineering prompt that splits company functions into nodes and subagents, leaving the founder to approve only money, hiring and public matters.

About 30 minutes of talking produced a newsletter database, import scripts and search pages, then roughly 30 more minutes at the keyboard to review and ship it, all while cooking dinner.

A Flatiron Institute scientist gave the long-open analytic solution for a Lyapunov spectrum to GPT-6 Astra at its highest thinking setting, which derived it in 100 minutes; the paper credits collaboration with GPT-6 Astra and Claude Opus 5.5.

Claude Opus 5.5 (Max) leads the Image-to-WebDev Arena with 1749 points, Sonnet 5.5 (xHigh) is second at 1740, and GPT-6 Astra ranks third with a blended token price of $40/M, 60% above Opus.

The author lists eight repos including E2B, gVisor, OPA and LangGraph that use sandboxes, permissions, checkpoints and tracing to keep a single bad Astra agent tool call out of production.

The poster argues OpenAI has invested more compute and holds a slight internal lead over Anthropic, claiming stronger internal models such as 6.1 Astra and Bel exist.

A Spanish-language post lists how many days each GPT generation stayed in service, noting GPT-6 Astra lasted 19 days and Sol only 7, as release cadence shrank from years to weeks.