MoonshotAI: Kimi K2.7 Code.
Kimi K2.7 Code is a modified-MIT coding agent model, 1T total and 32B active, with image and text input and a 256K context, built on Kimi K2.6.
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Variants in the Kimi family.
Moonshot's frontier open-weight MoE — 1T total, 32B active.
Moonshot's open-weight reasoning variant — extended chain-of-thought training...
Multimodal agentic variant — adds a vision encoder to the K2 backbone.
Long-horizon coding + autonomous-execution upgrade over K2.5.
Kimi K3 is Moonshot AI's open-weight multimodal agentic model, 2.8T parameter...
Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning mode...
Kimi K2 0905 is a modified-MIT mixture-of-experts model, 1T total and 32B act...
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About MoonshotAI: Kimi K2.7 Code.
Kimi K2.7 Code is a coding-focused agentic model from Moonshot AI, built on Kimi K2.6, with open weights under a modified MIT licence. It is a mixture-of-experts model with 1T parameters in total and 32B active, plus a 400M vision encoder, so it takes images as well as text. Context length is 256K tokens. Moonshot aims it at long software engineering tasks carried through to the end, and says it spends fewer thinking tokens than K2.6.