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Kimi K2.5

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Efficient multimodal model balancing vision-language performance with optimized deployment

commercialopen-source

About

Kimi K2.5 is a multimodal image-text-to-text model from Moonshot AI designed for efficient vision-language understanding. With over 955K downloads on Hugging Face, it features compressed tensor optimizations that enable cost-effective deployment without sacrificing performance. Ideal for developers seeking production-ready multimodal capabilities with reduced infrastructure requirements.

Details

Modalitytext
Release DateFeb 20, 2026
API AvailableYes
Hostingapi

Tags

multimodalvisionopen-weightcost-effectivefine-tunable