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Model catalogMiniCPM-V 4.6
MI

MiniCPM-V 4.6

Multimodal model

MiniCPM-V 4.6

Release date: 2026-05-1120
Live demoGitHubHugging FaceCompare
Parameters
1.3B
Context length
262K
Chinese support
Supported
Reasoning ability

MiniCPM-V 4.6 is an AI model published by OpenBMB, released on 2026-05-11, for Multimodal model, with 13.0B parameters, and 262K tokens context length, requiring about ~1.6GB (Q4_K_M GGUF) storage, under the Apache 2.0 license.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

MiniCPM-V 4.6

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
262K tokens
Max output length
4096 tokens
Model type
Multimodal model
Release date
2026-05-11
Model file size
~1.6GB (Q4_K_M GGUF)
MoE architecture
No
Total params / Active params
1.3B / N/A
Knowledge cutoff
No data
MiniCPM-V 4.6

Open source & experience

Code license
Apache 2.0
Weights license
Apache 2.0- 免费商用授权
GitHub repo
https://github.com/OpenBMB/MiniCPM-V
Hugging Face
https://huggingface.co/openbmb/MiniCPM-V-4.6
Live demo
https://huggingface.co/spaces/openbmb/MiniCPM-V-4.6-Demo
MiniCPM-V 4.6

Official resources

Paper
MiniCPM-V 4.6 Model Card
DataLearnerAI blog
No blog post yet
MiniCPM-V 4.6

API details

API speed
3/5
No public API pricing yet.
MiniCPM-V 4.6

Benchmark Results

No benchmark data to show.

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MiniCPM-V 4.6

Publisher

OpenBMB
OpenBMB
View publisher details
MiniCPM-V 4.6

Model Overview

MiniCPM-V 4.6 is an AI model published by OpenBMB, released on 2026-05-11, for Multimodal model, with 13.0B parameters, and 262K tokens context length, requiring about ~1.6GB (Q4_K_M GGUF) storage, under the Apache 2.0 license.

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