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MiniCPM-V 4.6

OpenBMB · 2026-05-11 · 1.3B parameters

MiniCPM-V 4.6 is OpenBMB's compact 1.3B-class vision-language model, open-sourced on May 11, 2026 and built from a SigLIP2-400M vision encoder and Qwen3.5-0.8B language backbone. It uses LLaVA-UHD v4's intra-ViT early-compression technique and mixed 4x/16x visual-token compression, accepts text plus single images, multiple images, and video within a 262,144-token context, and has mobile deployment support for iOS, Android, and HarmonyOS. This repository contains the instruct/non-thinking checkpoint; OpenBMB releases long-chain-of-thought weights separately as MiniCPM-V 4.6 Thinking.

Benchmark scores

BenchmarkScore
AA-LCR6.3
AA-LCR v1.17.0
AA-Omniscience Index-82.9
Artificial Analysis Agentic Index1.4
Artificial Analysis Coding Index0.7
Artificial Analysis Intelligence Index4.2
Artificial Analysis Omniscience Accuracy6.7
Artificial Analysis Omniscience Hallucination Rate96.1
Artificial Analysis Openness Index44.4
Artificial Analysis Progress Index v1156
Capability112.7
CritPt (avg@5)0.0
GDPval-AA v2-134
GDPval-AA v2 (normalized)0.0
GDPval-AA v2.1-362
GPQA Diamond (Artificial Analysis avg@5)30.5
Humanity's Last Exam (Text-Only)5.1
IFBench (Artificial Analysis avg@5)26.7
MMMU Pro37.9
SciCode (Artificial Analysis avg@3)2.1
Terminal-Bench 2.10.0
Terminal-Bench Hard0.0
τ²-bench (Telecom)87.7
𝜏³-Banking4.3
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