LongCat-2.0 is a 1.6 trillion total parameter MoE model with only ~48 billion parameters activated per token?

LongCat-2.0 is a 1.6 trillion total parameter MoE model with only ~48 billion parameters activated per token.

The model was previously available on OpenRouter under the alias 'owl-alpha' before today's public reveal?

The model was previously available on OpenRouter under the alias 'owl-alpha' before today's public reveal.

Its sparse MoE architecture balances high capacity with inference efficiency, targeting developers seeking GPT-4-class performance at lower cost.

Open Source

r/LocalLLaMA June 30, 2026

⚡48B active parameters per token and a secret OpenRouter debut stealth model unveiled.

Deep Dive

A Reddit user named AnticitizenPrime submitted a post linking to an article and including comments.

Key Points

LongCat-2.0 is a 1.6 trillion total parameter MoE model with only ~48 billion parameters activated per token.
The model was previously available on OpenRouter under the alias 'owl-alpha' before today's public reveal.
Its sparse MoE architecture balances high capacity with inference efficiency, targeting developers seeking GPT-4-class performance at lower cost.

A 1.6T-parameter MoE model with 48B active parameters could democratize near-frontier AI performance at fraction of cost.