SenseTime's 12-benchmark study: GPT-6-Astra hits SOTA in sim but costs ~$55 to place pens

heyshrutimishra · x · 2026-10-22

SenseTime released the largest empirical study of GPT-6-Astra's embodied intelligence across 12 simulation benchmarks and 8 real-robot platforms, plus the open-source SenseNova-RoboRSI harness and a 27B model running at 1/50 GPT-6-Astra's cost. Under a unified protocol (ICL + up to 10× interaction budget), GPT-6-Astra achieved SOTA on all 12 benchmarks — RoboDojo 27.6%→81.9%, DexJoCo 87.3% vs prior 40.3% — but a simple pen-placing task costs $55 in inference, and real robots face collisions, overheating and irreversible mistakes that benchmark scores don't capture.

Related event: SenseTime-led study benchmarks GPT-6-Astra embodied intelligence: high scores, hard reality(2 posts)→

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