MiniCPM-V 4.6 Logo
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About MiniCPM-V 4.6
MiniCPM-V 4.6 is a highly optimized multimodal large language model (MLLM) designed for efficient image and video understanding, particularly on edge devices like smartphones. Built upon SigLIP2-400M and the Qwen3.5-0.8B LLM, it offers strong capabilities in single-image, multi-image, and video analysis while significantly reducing computational overhead. This model is ideal for developers and organizations looking to integrate advanced visual understanding into mobile applications with high performance and low resource consumption. The model boasts leading foundation and multimodal capabilities, outperforming larger models in benchmarks with significantly fewer token costs. Its ultra-efficient architecture, based on LLaVA-UHD v4, reduces visual encoding computation FLOPs by over 50%, leading to faster token throughput. MiniCPM-V 4.6 supports broad mobile platform coverage (iOS, Android, HarmonyOS) and is developer-friendly, with open-sourced edge adaptation code, support for popular inference frameworks like vLLM and llama.cpp, and fine-tuning ecosystems like SWIFT and LLaMA-Factory. It also provides multiple quantized variants for flexible deployment.
See full MiniCPM-V 4.6 review on Toolradar