GPT-6 Astra, Looped Transformers, and Hidden Reasoning
OpenAI released GPT-6 Astra, its strongest model to date, with standout 3D rendering and computer-use performance and 99.9% on ARC-AGI-3.
Sebastian Raschka reviews OpenAI's GPT-6 Astra, calling it the best model he has used, with disproportionate gains in 3D rendering, animation, and computer use through the Codex/ChatGPT harness. The model scores 99.9% on ARC-AGI-3 versus 7.8% for GPT-5.6 Sol and leads the Artificial Analysis Coding Agent Index, though gains on independent aggregate indices are more incremental. The article also explains looped transformer/recurrent depth architecture rumors, speculation that Astra hides its chain-of-thought reasoning, and recent research insights on the topic.
- GPT-6 Astra scores 99.9% on ARC-AGI-3 versus 7.8% for GPT-5.6 Sol
- Model shows standout 3D rendering and computer-use capabilities through graphical UIs
- Independent Artificial Analysis indices show frontier performance without decisive leaps
- Article analyzes looped transformer architecture and hidden chain-of-thought rumors
- Vendors
- OpenAIArtificial Analysis
- AI models
- GPT-6 AstraGPT-5.6 Sol
From the original article
14 min read at magazine.sebastianraschka.com
A lot has happened in the last few weeks. I am sure that OpenAI’s GPT-6 Astra is top of mind for everyone right now. In particular, thoughts on its performance, the looped transformer/recurrent depth aspects, and rumors that Astra is “hiding” its reasoning trace (i.
By ModelForge · magazine.sebastianraschka.com
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