multimodal LLM
Phi-4-multimodal-instruct
Microsoft multimodal LLM listed on the Open ASR Leaderboard.
Levelmodel
Classmultimodal LLM
Parameters5.57B
Contextnot in the notes
Released2025
Opennessopen weights permissive
Runs onsingle datacentre GPU
Statusactive
Benchmark Results
maintainer-run
eight-set macro-average English WERmaintainer-run
6.02
048
Score in WER. Lower is better.
snapshot 2026-05-06 via benchmarklist
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
- Microsoft AI
- Family
- not in the notes
- Released
- 2025 sourcesnotes
- Weights published
- 24 Feb 2025
- 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
- other
- Total parameters
- 5.57B sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- text, image, 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
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- single datacentre GPU
- 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
- 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
DeveloperMicrosoft AIbig tech, USA
Microsoft AIbig tech, USAModelPhi-4-multimodal-instructMicrosoft AI, multimodal LLM
Phi-4-multimodal-instructMicrosoft AI, multimodal LLMUse CasesIndustrial Copilots and Maintenance AssistantsIndustrialIndonesian and Regional-Language LLMsPublic SectorTelecom Domain LLMs and BenchmarksTelecomUse 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 2026Siemens Erlangen electronics factoryPlanned, 6 Jan 2026ADNOC OffshoreIn production, 9 Sep 2025Aker BPIn production, 9 Sep 2025+10 moreDeployments of these use cases; none names this model.Organisations 1
Sources
- Open ASR Leaderboard Benchmark Scores & AI Model Leaderboard | BenchmarkList benchmarklist.com https://benchmarklist.com/benchmarks/open_asr_leaderboard/
- huggingface.co/api/models/microsoft/Phi-4-multimodal-instruct https://huggingface.co/api/models/microsoft/Phi-4-multimodal-instruct
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Phi-4-Multimodal-Instruct", https://aurion.semai.id/models/microsoft-phi-4-multimodal-instruct/, records of October 2026.