# Shanghai AI Lab evaluates GPT-6-Astra's capability boundaries as a robot policy on EBench

- Source: Xbotics具身智能实验室 · 微信公众号
- Published: 2026-10-15T09:00:00.000Z
- RoboHot: https://robohot.news/en/items/jo1esbalypnldrp1ehzhzy3sg
- Original: https://mp.weixin.qq.com/s?__biz=MzkyMTc1NTI3Ng==&mid=2247509065&idx=1&sn=2d0298441a439f5b6d05ca02fb52e566&chksm=c0b5f3164c4a5934c5cfd63f172a48621d49eff90a384572ea363f674b1e3aebe3451b616f49&scene=126&sessionid=1792236622#rd

## Summary

Shanghai AI Laboratory's embodied evaluation team used EBench to evaluate GPT-6-Astra as a robot policy directly, without task-specific post-training, across 26 tasks and 510 total executions. Its average task success rate of 46.7% ranked third, and its average task score of 0.654 ranked second; OpenWAM-α led with a 55.3% success rate.

## Why it matters

The benchmark quantifies the capability gap between general large models and post-trained policies, helping readers judge which task lengths and manipulation precisions each approach suits.