MiniCPM-V 4.6: The 1.3B Model Running on Your Phone That Challenges Much Larger Rivals - Firethering
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The assumption has always been that serious AI runs on serious hardware. Your phone gets the watered-down version, good enough for a demo but not for real work. MiniCPM-V 4.6 is a direct challenge to that assumption. 1.3 billion parameters. Runs on iOS, Android, and HarmonyOS. Needs 4GB of GPU memory or 2GB on CPU via GGUF. And on the Artificial Analysis Intelligence Index it scores 13 against Qwen3.5-0.8B's score of 10 at 19x lower token cost, and against Qwen3.5-0.8B-Thinking's score of 11 at 43x lower token cost. These parts matter when it comes to a model which runs on your phone.

Original Reddit post

The assumption around multimodal AI has mostly been the same. if you want serious capability, you need serious hardware. MiniCPM-V 4.6 is trying to challenge that idea. It’s a 1.3B parameter multimodal model built to run on phones across iOS, Android, and HarmonyOS, while still handling image understanding, video analysis, OCR, and multi-image reasoning workloads that normally push users toward much larger systems. submitted by /u/techzexplore

Originally posted by u/techzexplore on r/ArtificialInteligence