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

The post claims a model from ex-DeepMind researchers, trained on a few hundred GPUs, beats GPT-6 Astra on four visual benchmarks at 6% of the cost.

A user shows a GPT-6 Astra-generated civil engineering infographic, arguing it is far more readable than the usual dozens of pages of opaque model output plus a specialist-only summary table.

The author says a new model, Glimpse, may outclass Astra and plans to test it against Astra first, then Opus 5.5, speculating it could push OpenAI to ship Astra 6.1 early.

Alibaba's OpenGCUA has computer-use agents write each step as a program mixing GUI actions and shell commands; GPT-6 Astra rises from 67.1 to 75.7 with steps per task cut from 102.1 to 33.5.

The author says Astra Pro's Pro reasoning mode can be enabled with a single JSON in the API, and shares the full MineBench voxel-building system prompt and judging criteria.

Nvidia-backed Elorian released Glimpse, a visual reasoning model it says beats GPT-6 Astra on four benchmarks, priced about 17x cheaper than Astra's standard rates.

The poster wants an OpenAI model that outperforms Opus 5.5 at a lower price, speculating it could be something like GPT-6.2 Astra.

The author argues that OpenAI branding Astra as AGI and Google overhyping Argon led to disappointment, unlike Anthropic's quiet Opus 5.5 launch.

A free Saturday course demos Astra building a working app live, finding jobs and tailoring resumes, plus a plug-and-play workflow playbook.

The post claims OpenAI's GPT-6 Astra and GPT-6.1 Sol scored higher than Anthropic's Fable 5.1 and Opus 5.5 on its evaluations, with Sol even above Astra.

NVIDIA open-sourced its ASPIRE robotics framework, using GPT-6 Astra for real-world robot manipulation and continual skill refinement, with near-perfect simulation benchmark scores.

TechCrunch cites Elorian's evaluations saying Glimpse outperforms GPT-6 Astra on scientific chart reasoning and short video captioning, with competitive results elsewhere.