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

Five models each designed and 3D printed a bridge spanning 2 feet to test load capacity; Claude Opus 5.5 won at about 130 lbs while GPT-6 Astra held only about 17.5 lbs.

Reddy lists what OpenAI should do at its developer day: release Astra 6.1 or 6.5, commit to a larger Bel, cut Astra's price by 50%, and argues models matter more than small Codex features.

A case study where RF-DETR locates the plate and tracks hand keypoints, sending only frames where a hand moves from the buffet to the plate to Astra, which returns a JSON event log with timestamp, dish, ingredient and confidence.

A video puts GPT-6 Astra and Claude Opus 5.5 head to head on the same task.

He says Opus 5.5 paired with Openclaw is surprisingly smarter and better at completing tasks than GPT-6 Astra.

A quoted remark says Altman runs hundreds of GPT-6 Astra agents simultaneously each night, monitors them from his phone, and teased a livestream 40 minutes later on what can be built now.

Given the same gummy bear prompt, Opus 5.5 produced a glossy translucent candy look while Astra made a rounder, chunkier bear; both stretch and wobble in the browser, with API costs under a dollar apart.

A user says no model has shown a bigger leap in computer use than Astra, citing its visual and spatial understanding, screen grounding, tool use, and multi-step workflow navigation as far ahead of the rest.

A complaint post says Codex limits are hit quickly, resets are confusing, Astra usage feels tight, Plus is starting to feel like the new free tier, Pro tier labels are reportedly disappearing, and a $500/month tier is rumored.

An OpenAI applied research lead is said to have described small model iterations as short-sighted, with the real plan being to distill small models like Luna from a stronger teacher model, Astra.

A user who expected the strong-performing GPT-6 Astra to win reports that Opus 5.5 took the match, sharing a comparison image.

Speaking with Marc Benioff, Altman compared GPT-5.5 to an average math professor and Astra to slightly above the top 1-2%, and said an internal model beyond Astra can solve problems the world's best mathematicians cannot.