88Z AI, 22 April — SenseAuto has launched Sage, the industry's first complex agent foundation model for vehicles. Built on a MoE architecture, it achieved strong results in PinchBench benchmarks and is deployed on the NVIDIA Orin X platform.
At a glance
- Sage is the industry's first complex agent foundation model for vehicles, using a MoE architecture.
- It achieved a 94% task completion rate in PinchBench and is deployed on the NVIDIA Orin X platform.
The update
SenseAuto has officially launched Sage, an on-device multimodal agent foundation model. It is the industry's first foundation model designed for complex agents in vehicles. The model uses a Mixture of Experts (MoE) architecture with 32 billion total parameters and 3 billion activated parameters. In PinchBench benchmarks, Sage achieved a 94% task completion rate, outperforming leading global cloud-based models such as Claude-Opus-4.6 and GPT-5.4. Sage has been successfully deployed on the NVIDIA Orin X platform. Furthermore, SenseAuto plans to introduce Sage Box at the Beijing Auto Show, aiming to evolve smart cockpits into super agents and enhance in-vehicle interaction and processing capabilities.
Sources & editorial note
This article is an AI-assisted synthesis by 88Z AI based on the public sources below. Product claims and availability are attributed to their publishers. It does not represent independent testing or first-hand reporting.
- 绝影智能SenseAutoSource published
Source dates above refer to the original announcements; the date under the headline is this article’s publication on 88Z AI.