Astra's 3D Planning: Code Execution Halves Cost for a 60% Gain Over Raw Reasoning
patience_cave · x · 2026-09-14
More MazeBench details on GPT-6 Astra: with code execution it clears every introductory level easily, rarely thinking more than 5 minutes per attempt. Without tools, it averaged 9 minutes of planning per call, sometimes over 20.
Its world-model approach delivers roughly a 60% gain at 50% less cost, though spatial reasoning still struggles in longer tunnels.
Related event: GPT-6 Astra on MazeBench: Bare Model Beats GPT-5.6 With Tools(6 posts)→
More from Models
- Perplexity early evals: Gemini 4 Carbon tops WANDR benchmark for long-form research — AravSrinivas · 2026-10-31
- DeepSeek's silent downtime upgrade caught by the pelican bicycle test — teortaxesTex · 2026-10-31
- ARC Prize 2026 closes in 3 days as Yi-Chia Chen tops ARC-AGI-3 at 75.56% — GregKamradt · 2026-10-31
- Fable 5.5 Max stuns with gorgeous SVG of a pelican riding a bicycle, headed to Claude Code — ChrisGPT · 2026-10-31
- OpenAI reportedly to train on users' Daybreak sessions with no opt-out — dyn___ · 2026-10-31
- NVIDIA Nemotron 3.5 scales LLM self-verification, +9-10 points on agentic benchmarks — sarahcat21 · 2026-10-31