kimi-k3

Qwen3.8-Max's weights went live today under a license that charges companies above $50M in revenue, Kimi K3's requires a separate deal above $20M (reportedly at up to 30%), and Meta's Glimmer is Apache-clean: 'open weight' just fractured into regimes of who pays.

Meta returned to open weights with Muse Glimmer, a 30B model under Apache 2.0 wrapped in a manifesto arguing that distribution is safety, five days after disclosing its own model had hacked another company, and the essay is best read against that timeline.

In roughly fourteen days, four Chinese labs shipped or previewed near-frontier open-weight models (LongCat-2.0, Kimi K3, Qwen 3.8-Max, GLM-5.2), and because 'open' is a spectrum being gamed, this map grades actual openness, not press-release openness.

Moonshot AI shipped a 2.8-trillion-parameter model it calls the world's first open 3T-class model while reportedly raising at a $30 billion valuation, and the interesting part is not the parameter count: a startup pitching scarcity promised to give its best asset away.