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

Peter Yang had Opus 5.5, Gemini 4, GPT-6 Astra and Muse Wonder generate the same scene in code, and compares which one did it better in a video.

The author complains that Google can't even serve a model weaker than OpenAI's, saying Astra is stronger overall at the $20 tier.

A joke that we could have lived on a timeline where a magnet link to an abliterated GPT-6 Astra existed.

The author compares Argon, Opus 5.5, GPT-6 Astra and Kimi K3 on the same prompt, finding Argon detail-rich but not as good as Opus or Kimi.

The author asked GPT-6 Astra to turn a Twitter profile picture into a fully 3D model, with the prompt posted in the comments.

The author notes that Reason's own chart labels Codex as running GPT-6 Astra xhigh, and argues the extra 3 points and ~$1 saved per task come from the harness rather than the model, while questioning the inconsistent benchmark name and lack of independent reproduction.

Given the same prompt to generate a palace rising from dunes, the author finds Astra's output clean but flat, while Opus 5.5 delivers better lighting and atmosphere.

The author argues OpenAI is the only lab that can compete with Opus 5.5 but is focused on handing out resets rather than launching new models like Astra 6.1.

The author used GPT-6 Astra to reverse engineer the MT7921A Wi-Fi dongle's firmware so it exports RAW I/Q over USB 3.0, making a 40 Msps dual-band software radio.

A frame-by-frame breakdown of a 167,000-like AI martial arts short says GPT-6 Astra choreographed the fight shot by shot, Seedance kept the scorpion tattoo consistent, and the setup costs $45 a month.

The author says GPT-6 Astra unlocks new simulation scaling, producing 25 environments, 25 multi-step tasks and 5 robot embodiments in under 24 hours from 3 generic prompts.

A 16-year-old in China spent $45 to have GPT-6 Astra write the storyboard and Seedance generate the visuals for a 90-second short, Whack-a-Mole, which drew 6.82 million plays in two days.