Moonshot vows to lift open-model hacking skills gradually after Kimi K3.1 Pro cut

Moonshot says it intends to “progressively raise the cyber capability available in open weights” after its new Kimi K3.1 Pro model scored 81% in an in-house hacking test. A build trained without the company’s cyber-data cuts scored 90.5%. The Beijing startup will release full weights for the K3.1 Pro by Nov. 4. The model is already deployed on Kimi.ai and Kimi API with a context window of 1 million tokens. There’s a high-speed version that’s two to three times faster, the company said. Predecessor K3 solved only 33.3% of the xdev-bench-hard tasks Moonshot connected the model’s expanding exploit capabilities to cyber material in its general mid-training corpus and its reinforcement learning tasks. Moonshot’s early experiments discovered that retaining the data in either stage would significantly heighten downstream cyber capability.

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