# Shanghai AI Lab launches decision model Intern·Mingjue, outperforming Jev and releasing 0.8B, 2B, and 4B weights

- Source: Shanghai AI Laboratory - Embodied Intelligence
- Published: 2026-10-11T16:00:00.000Z
- RoboHot: https://robohot.news/en/items/q5t14pqml0slcg5c1m0l1uvob
- Original: https://www.shlab.org.cn/news/5444306

## Summary

Shanghai AI Laboratory has launched the decision model Intern·Mingjue (Decision), which outperforms Jev and is available in 0.8B, 2B, and 4B parameter versions. In RTX 4090 tests, the 0.8B and 2B models had an average end-to-end latency of about 33 milliseconds and about 30 decisions per second, while the 4B model was 44.16 milliseconds and Jev was 109.70 milliseconds.

## Why it matters

The original text provides measured latency, benchmark scores, and a mechanism for routing between large and small models, which readers can use to judge the decision model's suitability for interactive scenarios.