Super‑Charging MiniCPM‑V 4.6 on One RTX 4090: 1B‑Parameter Multimodal Model Sets New Efficiency Bar

MiniCPM‑V 4.6, a 1.3 B‑parameter multimodal LLM, outperforms larger rivals such as Qwen3.5‑0.8B and Gemma 4 on both accuracy and speed, thanks to early ViT token compression and 4×/16× visual token reduction, delivering sub‑100 ms latency and over 2.6 k token/s throughput on a single RTX 4090 while also running offline on mobile devices.

MiniCPM-VRTX 4090Token Compression

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Super‑Charging MiniCPM‑V 4.6 on One RTX 4090: 1B‑Parameter Multimodal Model Sets New Efficiency Bar

SuanNi

May 13, 2026 · Artificial Intelligence

How MiniCPM-V 4.6 Achieves Lightning‑Fast Multimodal AI on Smartphones (Open‑Source)

MiniCPM-V 4.6 combines a SigLIP2 visual encoder with a Qwen3.5 LLM, cuts FLOPs by over 50%, lowers token cost up to 43×, scores 13 on the Artificial Analysis Intelligence Index, and runs with 75 ms first‑token latency on 3136×3136 images across iOS, Android and HarmonyOS, all with fully open‑source code and extensive quantization support.

MiniCPM-VOpen SourceQuantization

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How MiniCPM-V 4.6 Achieves Lightning‑Fast Multimodal AI on Smartphones (Open‑Source)

Super‑Charging MiniCPM‑V 4.6 on One RTX 4090: 1B‑Parameter Multimodal Model Sets New Efficiency Bar

How MiniCPM-V 4.6 Achieves Lightning‑Fast Multimodal AI on Smartphones (Open‑Source)

Super‑Charging MiniCPM‑V 4.6 on One RTX 4090: 1B‑Parameter Multimodal Model Sets New Efficiency Bar