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Moonshot Kimi K2.5

Moonshot AI has released Kimi K2.5, a 1 trillion parameter Mixture-of-Experts language model with 32 billion active parameters per request. The model uses 61 layers with 384 experts and sparse 8-expert activation, natively trained on roughly 15 trillion mixed vision and text tokens for a 256K context window. Kimi K2.5 outperforms GPT-5.2 on MMMU Pro (78.5%), BrowseComp (74.9%), and AIME 2025 (96.1%), and the Agent Swarm configuration reaches 50.2% on Humanity Last Exam at 76% lower cost than Claude Opus 4.5. Weights ship on Hugging Face under a Modified MIT license.