speech recognition
Whisper large-v3
Whisper large-v3; led the Open ASR Leaderboard in 2023.

Levelvariant
Classspeech recognition
Parameters1.55B
Contextnot in the notes
Released2023
Opennessopen weights permissive
Runs onsingle datacentre GPU
Statusactive
Benchmark Results
maintainer-run
leadership historymaintainer-run
7.44
048
Score in WER. Lower is better.
leader in 2023
average WER per Gladia, from the same leaderboardmaintainer-run
7.4
048
Score in WER. Lower 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).
Lineage
finetunedistillsuccessor
MERaLiON-2-10B is a child (finetune)medium confidencemodel card
MERaLiON-2-3B is a child (finetune)medium confidencemodel card
distil-large-v3 is a child (distill)high confidencemodel card
distil-large-v3.5 is a child (distill)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, 7 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
- autoregressive
- Total parameters
- 1.55B sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- 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
- 99+ languages
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
Developer
OpenAIfrontier lab, USA
OpenAIfrontier lab, USAModel
Whisper large-v3OpenAI, speech recognition
Whisper large-v3OpenAI, speech recognitionUse Casesnone recorded
Who Runs Itnone recorded
Models 5
WhisperOpenAI, speech recognitionFamily
MERaLiON-2-10BA*STAR (Institute for Infocomm Research, I2R), multimodal LLMfinetune
MERaLiON-2-3BA*STAR (Institute for Infocomm Research, I2R), multimodal LLMfinetune
distil-large-v3Hugging Face, speech recognitiondistill
distil-large-v3.5Hugging Face, speech recognitiondistillOrganisations 1
Sources
- Gladia - Best open-source speech-to-text models in 2026 gladia.io https://www.gladia.io/blog/best-open-source-speech-to-text-models
- Speech Recognition Accuracy Leaders, 2022–2026 select.keenable.ai https://select.keenable.ai/r/speech-recognition-accuracy-leaders-2022-2026/JbURQjlVooLQ6J10NkbRVw
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Whisper Large-v3", https://aurion.semai.id/models/openai-whisper-large-v3/, records of October 2026.