# Google releases Gemini 4 Argon physical reasoning model, connecting the full robotics R&D chain

- Source: AI前线 · 微信公众号
- Published: 2026-10-16T08:43:20.000Z
- RoboHot: https://robohot.news/en/items/eqbcvc48nnum5md498vv1wdmt
- Original: https://mp.weixin.qq.com/s?__biz=MzU1NDA4NjU2MA==&mid=2247668544&idx=1&sn=b3c9ab4042291a9e1177a7990dc8f460&chksm=faad6a4e0917423eb11e772a1689d3e9e2130758a7bf3fe7a2c5b3d00c619e7f27eef9b90751&scene=126&sessionid=1792327252#rd

## Summary

Google has released Gemini 4 (Argon), positioned as a general physical reasoning model focused on interaction with the physical world, covering the full robotics lifecycle from control execution and simulation reconstruction to data annotation and self-improvement. On the ERQA embodied reasoning benchmark, Argon scored 87%, surpassing Claude Opus 5.5 (82.3%) and GPT-6 Astra (81%); in the AA-Omniscience test, its hallucination rate was 15%, lower than the 51% and 59% of the latter two.

## Why it matters

The article breaks down the model's specific uses and measured figures across the robotics R&D chain in four layers: control, simulation, data quality inspection, and self-improvement.