1.6 trillion total parameters with only ~48B active per token (sparse MoE architecture)?

1.6 trillion total parameters with only ~48B active per token (sparse MoE architecture).

Weights released under the permissive MIT license, enabling commercial use?

Weights released under the permissive MIT license, enabling commercial use.

One of the largest open-source LLMs available, comparable to proprietary models in scale.

Open Source

r/LocalLLaMA July 06, 2026

⚡Only 48B active per token — massive yet efficient and fully open.

Deep Dive

Elie and ModelScope tweeted about Longcat 2.0, linking to a technical blog post and a Reddit submission.

Key Points

1.6 trillion total parameters with only ~48B active per token (sparse MoE architecture).
Weights released under the permissive MIT license, enabling commercial use.
One of the largest open-source LLMs available, comparable to proprietary models in scale.

Democratizes access to trillion-parameter AI for research and commercial use without prohibitive compute costs.