MiniCPM-V 4.7

MiniCPM-V 4.7 is the latest model in the MiniCPM-V series, available in 35B-A3B and 1B variants. The 35B-A3B variant is the series’ first MoE model.

• 🚀 A new performance–efficiency Pareto frontier. The 35B-A3B and 1B variants each advance the performance–efficiency Pareto frontier for multimodal large language models. In Instruct mode, 35B-A3B achieves a higher overall score in less inference time than Qwen3.6 35B-A3B; the 1B variant further improves on MiniCPM-V 4.6’s core capabilities and substantially outperforms Qwen3.5 0.8B in both overall score and inference efficiency.

• 📱 The first open-source MoE to run smoothly on-device without compromising performance. Powered by the latest Lookahead Expert Scheduling (LES) inference acceleration technique, MiniCPM-V 4.7 35B-A3B becomes the first open-source MoE model to run smoothly on-device without compromising performance, achieving a decoding speed of 13+ tokens/s with just 3 GB of memory on iPhone 17 Pro Max. We also support DSpark speculative decoding, with dedicated heads available for 1B (DSpark-BF16, DSpark-GGUF) and 35B-A3B (DSpark-BF16, DSpark-GGUF).

• 🛠️ Broad platform support and easy customization. MiniCPM-V 4.7 supports iOS, Android, and HarmonyOS, and supports chip platforms from Intel, AMD, Arm, Rockchip, and Houmo, covering a diverse range of mobile devices and local computing scenarios. We also open-source Self-Replay Fine-Tuning (SRFT), helping developers extend model capabilities at low cost while reducing forgetting of existing capabilities.

Official introduction