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

A blogger asked DeepSeek v4.1 Flash to generate 100 non-repeating HTML pages and shared comparison links to GPT-6 Astra's output on the same task, judging the former better at frontend design.

A Czech user says OpenAI cracked the millennium math problem with Astra, but notes the proof has not been independently verified and uses the news to criticize Europe's regulatory climate.

A long post recounts how OpenAI used its next-generation model to drive 10,000 agents to produce a 165-page proof in 88 hours, and the ensuing allegations of jumping the gun, pressure and authorship disputes.

The author says Astra worked out the arm's spatial structure and Tripo generated the 3D model, which can be rotated and zoomed to view bones, muscles and blood vessels layer by layer.

A leak says the internal OpenAI model behind the Navier-Stokes breakthrough solved nearly 50% of OpenAI's advanced internal math benchmark, versus 10% for GPT-6 Astra.

SemiAnalysis adds a timeline note that GPT-6 Astra came out publicly on September 3.

A Japanese post says OpenAI's internal next-gen model scores far above GPT-6 Astra and coordinated about 10,000 AI agents over 88 hours to derive a solution to the Navier-Stokes equations.

ChatGPT and Codex draw on separate quotas under the same subscription, so after Codex hits 0% you can keep using Astra in ChatGPT at no extra cost.

OpenAI says a group of agents produced a proof of the roughly 90-year-old Navier-Stokes problem, using a next-generation model far more capable than GPT-6 Astra.

In a Box Agent demo, GPT-6 Astra reads 23 documents to determine which lenders can vote on a loan amendment, corrects the preliminary tally, and finds a covenant breach an earlier waiver doesn't cover.

A user spent a full day and half a week's quota trying to get GPT-6 Astra to generate a decent anime character in Blender, with each iteration fixing one thing and breaking another.

GPT-6 Astra with code execution solved all 49 tasks on the WebMCP benchmark, but was about 49x more expensive and 2.9x slower than GPT-5.6 Luna with WebMCP.