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

A short post saying people are already waiting for GPT-6.1 Astra and asking OpenAI to release it soon.

An Arabic creator tested building a complete motion graphics project with GPT-6 Astra and Codex, saying it treated scenes like a real motion project rather than just writing code.

The author compared Opus 5.5 with GPT-6 Astra at Max effort on VFX, character animation and full Blender scenes, finding each model won some rounds.

A Chinese user assigns complex tasks to GPT-6 Astra and uses Opus 5.5 for chat, writing and everyday work, hoping its quality does not degrade.

Claude Opus 5.5 (Max) ranked first in the Code Arena WebDev leaderboard at a price 60% lower than the next best model, GPT-6 Astra (Max).

A Japanese user asked GPT-6 Astra to fit all 709 JIZURA entries into a 100-second MV, automatically generating subtitles and decorations, and said the result is easy to understand and fun.

A developer fed a Deep Research PDF to Codex (GPT-6 Astra), which generated images, converted them to 3D models via the Tripo plugin, and assembled a Three.js site showing the early forms of 11 major human inventions.

The author notes GPT-6 Astra still errs about 20% of the time on IKEA assembly judgments, arguing AI progress is overstated by tasks with clear outcomes and that AGI claims are exaggerated.

Each of ten Astra agents was given $52 in capital to trade memecoins autonomously, and together they reported $11,345 in earnings within 13 hours with no manual intervention.

A user connected Codex to Blender via MCP and had GPT-6 Astra generate art references, 3D assets and a gameplay loop, then left it running overnight to add weather and procedurally generated robotic birds.

A revised model tier chart explicitly ranks Opus 5.5 above GPT-6 Astra, sparking debate over the ranking.

Without designing the structure in advance, the author let multiple agents run repeatedly, and research, decisions and past attempts settled into a reusable tree-shaped workspace.