Moonshot’s Kimi K3 ships as a 2.8T open-weights MoE with 1M-token context

Latent Space · rss · 2026-07-28

Latent Space's AI News roundup argues that open weights dominated the week, with Moonshot's Kimi K3 as the standout release.

Kimi K3 ships as a 2.8T-parameter MoE with 104B active parameters, 896 experts, 16 active per token, a 1M-token context window, and native visual understanding. Moonshot also open-sourced FlashKDA, MoonEP, and AgentENV, making the release more than a model drop: it's a full stack for large-scale agentic post-training and serving.

The roundup says K3 reportedly improves scaling efficiency by about 2.5× over K2 and has been validated by multiple external evaluations as beating Opus 4.8 among open-weights models. It also notes that the license is source-available rather than permissive OSS, with commercial carve-outs for large hosts and high-revenue products. Distribution was broad on day one across vLLM, Baseten, Modal, Fireworks, Nebius, Together, DigitalOcean, Cursor, Cognition, Ollama Cloud, and Dell Enterprise Hub.

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