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

A user argues GPT-6 Astra is a breakthrough for scientific research, using 22x fewer input tokens than Sonnet 5.5 and 5x fewer than Opus 5.5 at lower cost.

A user posts a video generated with ChatGPT Astra and asks how it turned out, showing an actual Astra-made clip.

The index puts Claude Opus 5.5 first at 57.6, GPT-6 Astra at 52.7, and newcomer DeepSeek V4.1 Flash at 45.1, ranking 12th overall and 2nd among open-weight models.

The author cites an OpenAI staffer saying Chinese models close the gap partly via distillation, and argues DeepSeek matches Astra while being faster and cheaper, demanding evidence.

The RPG method from Berkeley and Amazon raises a frozen model's robot success rate from 28.6% to 95% by revising prompts and skills instead of weights, while noting GPT-6 Astra completed only 7 of 50 household episodes safely in PhysHarm.

A user says OpenAI's Astra Ultrafast is so fast it deserves repeated praise, arguing Claude does not come close.

PC Watch reports that ChatGPT's GPT-6 Astra Pro is faster and now runs multiple agents in parallel to split up tasks.

Lidang argues Bay Area high schoolers using GPT-6 Astra with a quaternion joint controller outproduce a dozen well-funded Chinese embodied-AI startups, while VCs keep pouring money in.

Per OpenAI, Pro users in the Chat tab can have Astra Pro split a task across multiple agents running in parallel, following each and reviewing finished parts (Oct 16).

A study across 7 models and 1,514 data tasks finds Astra and Opus 5.5 score highest without orchestration, which drops them 5–8 points, while weaker models gain a lot.

A satirical post claims a paternity test shows DeepSeek is 84% GPT-6 Astra, and compares DeepSWE coding scores: DeepSeek 77, Astra 74.1, Opus 5.5 74.2.

A walkthrough of GPT-6 Astra Pro's parallel agents in ChatGPT, with per-agent progress and results, plus a prompt template for comparing three products.