OpenBMB

7 models across 1 family · Latest: MiniCPM-V 4.7 1B (2026-10)

Efficient open-source language models for edge devices.

RAGAgentsLong contextVisionJSON / Tool useResearch
OpenBMB releases · 5 in the last 12 monthsChangelog →

OpenBMB's portfolio covers 7 active models across 1 current family, spanning rag, agents, and long context. Open a model detail page to compare provider routes and sourced benchmarks.

Covers 5 workload areas across 7 active tracked models; last verified 2026-10-22.

Use it for

  • Teams evaluating rag, agents, and long context across this lab's releases
  • Comparing model families before committing to a flagship
  • Migration and pricing follow-ups across 7 tracked models

Do not use it for

  • Choosing a hosting provider without opening a model page for price ladders

Active models

7

Current models from this lab, excluding deprecated ones

Active families

1

Current model families from this lab

Open catalog

7 open

7 open source / 0 open weights

Lowest output price

Not tracked

No provider output pricing linked yet

Latest dated release

2026-10-12

MiniCPM-V 4.7 1B

Freshness

2026-10-22

Researched 5d ago

fresh

Information

Founded2022
Beijing, China

Release cadence

Dated releases
5
Latest model
MiniCPM-V 4.7 1B
Latest date
2026-10-12

Where this lab wins

  • RAG: 4 tracked models with ruler / needle retrieval benchmarks.
  • Agentic: 5 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
  • Long-context: 4 tracked models with context-token or InfiniteBench-class signal.
  • Vision: 3 tracked models with multimodal benchmark coverage.

Flagship quality / price signal

Flagship
MiniCPM 2B
Selection source
Best sourced coding Q/$
Coding grade
unknown
Benchmark / output price
Not enough sourced benchmark and price coverage

About

OpenBMB (Open Lab for Big Model Base), co-founded by Tsinghua NLP researchers and ModelBest Inc. (面壁智能), develops the MiniCPM series of ultra-efficient language models optimized for on-device deployment. MiniCPM4 achieves 3x generation speedup on reasoning tasks, while the multimodal MiniCPM-o 4.5 approaches Gemini 2.5 Flash performance with only 9B parameters. The models are freely available for academic research and commercial use.

Featured models

ModelReleasedContextInput price ($/1M)Output price ($/1M)LicenseOpenness
MiniCPM-V 4.7 1B2026-10-12256K--Apache 2.0Open source
MiniCPM-V 4.7 35B-A3B2026-10-12256K--Apache 2.0Open source
MiniCPM5-2B2026-09-06128K--Apache 2.0Open source

Model families

Recent releases

  1. MiniCPM-V 4.7 1B- 2026-10-12
  2. MiniCPM-V 4.7 35B-A3B- 2026-10-12
  3. MiniCPM5-2B- 2026-09-06
  4. MiniCPM5-1B- 2026-05-21
  5. MiniCPM-V 4.6- 2026-05-11

Top comparisons

Explore related pages

Last reviewed: 2026-10-22. Data sourced from public lab announcements and provider documentation.