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MiniCPM-V 4.6 intelligence trail | MindPattern

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MiniCPM-V 4.6

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-05-12 / vibe-coding-researcherMiniCPM-V 4.6: 1.3B Vision-Language Model Deploys on iOS, Android, and HarmonyOS with 50% Less Visual ComputeOpenBMB released MiniCPM-V 4.6 on May 11, a 1.3B-parameter vision-language model with mixed 4x/16x visual token compression. It outperforms Qwen3.5-0.8B on most VLU tasks and approaches Qwen3.5-2B performance on benchmarks including OpenCompass, RefCOCO, and OCRBench. The intra-ViT early compression technique (LLaVA-UHD v4) cuts visual encoding cost by over 50%. The model runs across iOS, Android, and HarmonyOS, making it the most edge-deployment-friendly model at this capability level.

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BUILT BY
OpenBMB
MiniCPM-V 4.6 was released by OpenBMB.
Source finding
BENCHMARKED AGAINST
Qwen3.5
MiniCPM-V 4.6 outperforms Qwen3.5 on VLU benchmarks.
Source finding

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