Kimi K3's license is MIT-inspired but requires a specific commercial agreement if…

Brief

Kimi.ai's Kimi K3 release (2026-07-27) combines an MIT‑inspired license that mandates a paid commercial agreement for companies offering the model-as-a-service and earning over $20,000,000/year with an open technical release: weights on Hugging Face, a tech report on GitHub, and a blog post. K3 is a 2.8T MoE with native vision, a 1M-token context window, claims 2.5× compute efficiency, and accompanies low-level attention kernels, an MoE comms library, and agent infrastructure.

Key details

Kimi.ai published Kimi K3 assets: a 2.8 trillion-parameter (2.8T) Mixture-of-Experts (MoE) model with native visual understanding, a 1,000,000-token context window, and a claimed 2.5× "intelligence per unit of compute"; they also released attention kernels, an MoE communication library, and agent-run infrastructure, with weights on Hugging Face, a tech report on GitHub, and a tech blog post.

Kimi K3's license is inspired by MIT, but if your company provides Kimi K3 via "model-as-a-service" and makes over $20M/year, you need a specific commercial agreement.

Obviously the move is to create a 1-person co that makes $19,999,999 a year.

Kimi.ai (@Kimi_Moonshot)

Releasing the model weights and technical report of Kimi K3.

Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window.

New model architecture: 2.5x the intelligence per unit of compute, not just more params.

Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale.

Model weights: huggingface.co/moonshotai/Ki…
Tech report: github.com/MoonshotAI/Kimi-K…
Tech blog: kimi.com/blog/kimi-k3

— https://nitter.net/Kimi_Moonshot/status/2081760186235289764#m

Brief

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