multimodal LLM
MiMo-V2.5
Xiaomi native omnimodal agentic model that understands text, image, video and audio, with up to one million tokens of context.
Levelmodel
Classmultimodal LLM
Parameters310B
Context1,000,000
Released22 Apr 2026
Opennessopen weights permissive
Runs onnot in the notes
Statusactive
Benchmark Results
independent
Artificial Analysis Intelligence Index v4.3.2composite index
Intelligence Index v4.3.2; marked estimated (asterisk) on pageindependent
25
03060
Score in index. Higher is better.
rank 27 of 117, AA model page, rank within model class
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).
Lineage
continued pretrain
MiMo-V2-Flash is the parent (continued pretrain)high confidencemodel cardWhere this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 2 models. Confidence and evidence are the notes' own.
Identity
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
- MoE MiMo-V2-Flash hybrid sliding-window attention backbone with a 729M-param ViT and a 261M-param audio encoder
- Total parameters
- 310B sources
- Active parameters
- 15B
- Checkpoint parameters
- –
- Context length
- 1,000,000 tokens
- Input
- text, image, video, audio
- 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
- MIT License sources
- Access routes
- API, 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
- not in the notes
- 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
- Hugging Face language tags: en, zh
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Industry Use Cases
No industry use case links this model.
Links
DeveloperXiaomibig tech, China
Xiaomibig tech, ChinaModelMiMo-V2.5Xiaomi, multimodal LLM
MiMo-V2.5Xiaomi, multimodal LLMUse CasesProcess Optimisation and Advanced Process ControlIndustrialUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026MIND IDResearch, 14 Oct 2025
Conch CementIn production, 23 Jun 2025
PT Kalbe Morinaga IndonesiaIn production, Oct 2024+2 moreDeployments of these use cases; none names this model.
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026MIND IDResearch, 14 Oct 2025Conch CementIn production, 23 Jun 2025PT Kalbe Morinaga IndonesiaIn production, Oct 2024+2 moreDeployments of these use cases; none names this model.Organisations 1
Sources
- mimo.xiaomi.com/mimo-v2-5 https://mimo.xiaomi.com/mimo-v2-5
- huggingface.co/XiaomiMiMo/MiMo-V2.5 https://huggingface.co/XiaomiMiMo/MiMo-V2.5
- artificialanalysis.ai/models/mimo-v2-5-0424 https://artificialanalysis.ai/models/mimo-v2-5-0424
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "MiMo-V2.5", https://aurion.semai.id/models/xiaomi-mimo-v2-5/, records of October 2026.