LongCat-2.0
AssessPlatforms
A large-scale mixture-of-experts language model with 1.6T total parameters and 48B active parameters.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by model releases, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 7Hacker News·6/30/2026model_releaseLongCat-2.0: 1.6T MoE model with 48B active parameters
LongCat-2.0 is a large-scale mixture-of-experts language model announced with 1.6 trillion total parameters and 48 billion active parameters per forward pass. The release highlights a design aimed at scaling model capacity while keeping inference compute lower than a dense model of comparable size.