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

A complaint post notes it has been almost two months since GPT-6 Astra with no new frontier model, despite Sam Altman saying more were ready to ship.

Running the Lighthouse test at max, the author spent $23.42 on Kimi K3.1 Pro yet it lost to Opus at $53 and GPT-6 Astra at $42, questioning the value claim.

A day-by-day Codex changelog covering ~50% faster Astra defaults, GPT-6 in ChatGPT, 6.1 Sol ultrafast and 500k context, plus 9 usage resets in 19 days.

A single prompt has GPT-6 Astra Ultra generate a photoreal Grand Canyon drone flight entirely in code within one HTML file, then render, inspect and iterate on cliffs, river, lighting and camera.

On 100 real vulnerable PRs, DeepSeek V4.1 Flash found 54, Kimi K3.1 Pro 47, while GPT-6 Astra and Muse Wonder each found 46.

A single-HTML-file three.js test pits Kimi K3.1 Pro against Opus 5.5 and GPT-6 Astra, with the author concluding Kimi clearly outperformed Astra and now competes at the frontier.

Unsatisfied with his project's power draw, the author had Opus 5.5 and GPT-6 Astra collaborate on a new PCB meant to last half a year per charge, showing the blueprints and parts ordered.

The author says every plan from GPT-6 Astra xhigh was scrapped, calling it a machine that misreads the starting point, rushes ahead and burns through tokens.

The author proposes handing 16 color-spray robot arms to GPT-6 Astra to auto-plan painting paths, completing an automated photo-to-3D-print-to-color pipeline.

A rumor claims OpenAI has completed a 10T+ parameter model called Bel positioned as the post-GPT-6 foundation, contrasted with GPT-6 Astra's benchmark scores.

OpenAI announced that ChatGPT Pro users can now use parallel agents, citing the official announcement post.

The author lists improvements from the 28-day challenge, including faster models and persistent caching in Codex, and speculates that OpenAI resuming RL training could bring 6.1 Astra within ten days.