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

Moonshot's Kimi K3.1 Pro scores 65.7% on Terminal-Bench 4.0 versus GPT-6 Astra's 58.2%, at roughly one-seventh the price.

The thread argues that multi-arm carving and painting work with no pick-and-place moves is a fit for GPT-6 Astra to plan complex motion paths.

The same six-step galaxy shooter prompt went to three models; Kimi's $0.31 build was most complete while Astra cost $2.55 and never landed spread shot.

A free 39 GB dataset on Hugging Face includes input images, prompts and settings, with some models generated by GPT-6 Astra 3D and Opus 5.5 3D.

On BugBunny's VulnPR-100 benchmark, Kimi K3.1 Pro found 47 vulnerabilities for $124.69, one more than GPT-6 Astra and Muse Wonder 1.0 at 46, but still behind DeepSeek V4.1 Flash.

With no prior 3D experience, the author used GPT-6 Astra with Godot, ChatGPT for car views and Rodin for the 3D model, getting a drivable car and basic loop in about 3 hours.

Moonshot unveils Kimi K3.1 Pro, a 2.8-trillion-parameter model with a 1M-token context that it claims beats Claude Opus 5.5 and GPT-6 Astra on long-horizon coding, with open weights promised by November 4.

Japanese outlet Gigazine reports that China's Kimi K3.1 Pro matches GPT-6 Astra's performance and will be released for free on November 4.

Both models produce impressive 3D scenes; the comparison focuses on lighting, ocean detail and atmosphere, showing how far prompt-to-interactive-world generation has come.

Given the same prompt for a pixel airport with planes, weather changes and working controls, Kimi K3.1 Pro cost $0.98 versus $17.61 for GPT-6 Astra.

A complaint post argues OpenAI has fallen from first to sixth place and demands it stop fumbling and release new models, specifically the next Astra.

In a 12-operation CAD bracket test, GPT-6 Astra was still on the final step when the clip ended and cost about 5x more per build than Kimi K3.1 Pro.