Skip to content
K = 0.731Subscribe

Meituan releases LongCat-2.5 for long-horizon agent tasks

1 reports 1 reporting sources Updated 6 hours ago

Understand the event

AI overview

Meituan released LongCat-2.5, a native multimodal model with 1.6 trillion parameters designed for long-horizon agent tasks. The model was trained entirely on domestic computing resources, in what Leiphone described as the largest training task completed on such infrastructure to date.

Generated by AI from reports · Updated 3 hours ago

Latest development11/2 15:23 (UTC+8)
Meituan releases LongCat-2.5, a native multimodal model for long-horizon agent tasks雷锋网

Read next

More changes in today’s briefingTypeSafe AI and Treg release open-source people search tool powered by Jev

Report timeline

Follow the reports to explore different sides of the event.

11/2
  1. 雷锋网
    Meituan releases LongCat-2.5, a native multimodal model for long-horizon agent tasks

    Meituan released LongCat-2.5 on November 2, a native multimodal model with 1.6 trillion parameters designed for long-horizon agent tasks. Continuing the LongCat series’ development direction, it was trained entirely on domestic computing resources in what the report describes as the largest training task completed on such infrastructure to date.

Keep up with AI, one email a day

Model releases, price changes and compute developments, with original sources. Free, confirmed by email, and easy to unsubscribe. Read a past issue

Event heat trend

There is not enough continuous observation data to plot a trend yet.