multimodal LLM
MiniCPM-V 4.6 1.3B
OpenBMB 1.3B vision-language model; highest open model under 2B on the AA Intelligence Index at 11 May 2026.
Levelmodel
Classmultimodal LLM
Parametersnot in the notes
Context262,000
Releasednot in the notes
Opennessopen weights permissive
Runs onnot in the notes
Statusactive
Benchmark Results
independent
Artificial Analysis Intelligence Index v4.3.2composite index
independent
13
03060
Score in index. Higher is better.
rank 1, Open models under 2B
MMMU-Promultimodal
Reported in Artificial Analysis article; run origin not statedindependent
38
050100
Score in %. Higher is better.
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).
R&D Topics
Identity
- Developer
- OpenBMB (Tsinghua NLP Lab and ModelBest)
- Family
- not in the notes
- Released
- – sources
- Weights published
- –
- Record checked
- 10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- dense transformer
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Note
- 1.3B dense
- Context length
- 262,000 tokens
- Input
- text, image
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open weights permissive
- Licence
- Apache License 2.0 sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- BF16 at release. Not stated as on-device by the source; Ollama lists it as phone-oriented
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
Model
MiniCPM-V 4.6 1.3BOpenBMB (Tsinghua NLP Lab and ModelBest), multimodal LLM
Use CasesIndustrial Copilots and Maintenance AssistantsIndustrialIndonesian and Regional-Language LLMsPublic SectorTelecom Domain LLMs and BenchmarksTelecomRobot Inspection with Instrument ReadingIndustrial+1 moreUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Pertamina Geothermal EnergyIn production, 14 Jul 2026
Siemens Erlangen electronics factoryPlanned, 6 Jan 2026
ADNOC OffshoreIn production, 9 Sep 2025
Aker BPIn production, 9 Sep 2025+10 moreDeployments of these use cases; none names this model.
PT Pertamina Geothermal EnergyIn production, 14 Jul 2026
Siemens Erlangen electronics factoryPlanned, 6 Jan 2026
Aker BPIn production, 9 Sep 2025+10 moreDeployments of these use cases; none names this model.R&D topics 3
Small Language Models (SLM)Models under about 10B parameters that fit consumer devices.produced byVisual Instruction TuningConnecting a vision encoder to a language model and training it on image-grounded instruc…produced byDocument, OCR and Chart UnderstandingVision-language models that read text-rich images such as scanned documents, forms, chart…produced by
Sources
- OpenBMB launches MiniCPM-V 4.6 1.3B Instruct artificialanalysis.ai https://www.artificialanalysis.ai/articles/openbmb-launches-minicpm-v-4-6-1-3b-instruct
- library ollama.com https://ollama.com/library
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "MiniCPM-V 4.6 1.3B", https://aurion.semai.id/models/openbmb-minicpm-v-4-6-1-3b/, records of October 2026.