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

A developer cites Google's official Android development benchmark, saying Claude Opus 5.5 beats GPT-6 Astra and Fable 5.1 in the Android domain.

French tech YouTuber Joma made a ChatGPT-sponsored parody ad in which the AI proves Navier-Stokes while sorting dishes, then wins $1 million and a Fields Medal, poking fun at OpenAI's claims to have solved a Millennium Prize problem and its release of 722 math papers.

A Turkish user says GPT-6 Astra Pro worked for 82 minutes and produced good optimizations, and that they sent five tasks in parallel with plans to reach 100 in total.

The author lists a seven-tool workflow: ChatGPT Astra Ultra for enterprise-grade research, OpenAI Dot as an executive assistant, Opus 5.5 for video animation, Claude Code for audio, plus Gemini, Grok and Grok Bot.

The user complains that GPT-6 Astra has poor limits and frequent 'model at capacity' errors, and that Sol is slow and drops connections, saying they will move to Anthropic if reliability isn't fixed.

The author gave Astra full write access and a 42-task queue overnight; all 42 tasks reported complete but almost nothing was shippable, because there was no hard definition of done.

The author analyzes why a video of Trump backflipping from a hot air balloon onto a trampoline at sea gets replayed, and says Astra writes the shot list, Seedance keeps the face steady, and Make publishes it.

Grok 4.7 ranks first on the Harvey legal benchmark, ahead of Claude Opus 5.5, GPT-6 Astra and Muse Spark 1.3.

A Persian-speaking user handed a USB drive that could not be formatted, erased or written to over to ChatGPT's Astra 6 model, and it was fixed in about an hour.

A commentary argues OpenAI has nothing to hype until 6.1 Astra, while Anthropic jumped from 5.1 straight to 5.5 and shipped a model competitive with Astra at lower cost.

The author lists nine open-source tools including Aider, browser-use, Composio and Daytona, arguing the model should only handle judgment while browser, files, sandbox and evals each stay in their own layer.

A hands-on test finds 6.1 Sol in Codex runs at half the API's speed in regular mode, and Ultrafast consumes three times the usage OpenAI claimed.