MiniCPM (OpenBMB / ModelBest 面壁智能)
On-device open-source small LLMs and multimodal models for edge deployment.
Overview
MiniCPM is a family of efficient open-source small language and multimodal models from OpenBMB and ModelBest (面壁智能), co-founded by Tsinghua NLP researchers. The series spans dense on-device LLMs, the MiniCPM-V vision-language line and MiniCPM-o omnimodal models with streaming audio/video. It targets developers building local, privacy-preserving AI for phones and resource-constrained hardware.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 4 Jun 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
ASEAN Perspective
MiniCPM (OpenBMB / ModelBest 面壁智能) in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
MiniCPM punches well above its weight: its small models repeatedly hit class-leading benchmarks while running on phones, and the MiniCPM-V/o multimodal variants are genuinely impressive for their size. It is a top choice for anyone building offline or edge AI.
This is a research-driven open-weight release rather than a hosted product, so there is no first-party SaaS API or polished UI; you self-host or use third-party providers. That keeps ASEAN readiness theoretical but the permissive open-source model makes it globally usable.
About this listing
This entry was compiled from publicly available data including MiniCPM (OpenBMB / ModelBest 面壁智能)'s official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with MiniCPM (OpenBMB / ModelBest 面壁智能) unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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