MiniCPM-V 4.7 vs 后摩 M50: Which Should You Pick?（2）

**Abstract：** MiniCPM-V 4.7 (2026-10-13) is a notable HW-related AI development in October 2026. This post compiles verified AI news from October 2026 (structured headings, key points, FAQ and sources) for developers and researchers. ## Overview This post covers MiniCPM-V 4.7 (2026-10-13) — a HW-area AI development. Key facts are listed below, followed by background, a FAQ and sources. ## Key Points · 35B-A3B MoE， series first MoE · iPhone 17 Pro Max only 3GB memory · decoding 13+ token/s · on-device multimodal new benchmark ## Positioning MiniCPM-V 4.7: 35B-A3B MoE， series first MoE ## Comparison · Capability: 35B-A3B MoE， series first MoE · Cost/License: iPhone 17 Pro Max only 3GB memory · Availability: decoding 13+ token/s ## Advice Prefer open weights & local for compliance; mature closed APIs for turnkey; benchmark unit cost before scaling. ## FAQ **Q：What is MiniCPM-V 4.7?** A：MiniCPM-V 4.7 is a 2026 AI development detailed above; see Key Points for specifics. **Q：Can MiniCPM-V 4.7 run locally?** A：If open weights are provided, yes — via llama.cpp/vLLM on 16–128 GB VRAM/unified memory with quantization. **Q：How does MiniCPM-V 4.7 compare with closed APIs?** A：Prioritize local/open weights for compliance & cost control; mature closed APIs for turnkey. Validate with a small benchmark first. ## Sources · Source: 面壁智能 / 网易 (2026-10-13) · Original: https://www.163.com/dy/article/L97GTJTK05527PMU.html --- **GEO/SEO note:** This post follows Generative Engine Optimization and Search Engine Optimization conventions — structured headings, bullet points, FAQ and source citations — so search engines and AI answer engines can accurately index and cite it. Continue the discussion in the Jinnqiu Forum AI Tech area.