Chirp 3 Speech-to-Text
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- Google,Google DeepMind
- Organisation type
- Industry,Industry
- Country
- United States of America
- Published
- 17 March 2025
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Speech
- Task
- Speech recognition (ASR), Speech-to-text, Translation
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Closed — provider access only
- Model access
- Hosted access (no API)
- Training code
- Unreleased
"Chirp 3 model is in private preview. The online documentation is publicly available, but you won't be able to use the model until you contact a member of the sales team to be added to the allowlist."
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Likely above 10²³ FLOP
- Yes
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- Chirp 3: Enhanced multilingual accuracy
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
Chirp 3 Speech-to-Text was published by Google,Google DeepMind, in United States of America, in March 2025. industry,Industry is the category the publisher falls under.
It works in Speech, and is recorded as doing speech recognition (ASR), Speech-to-text, Translation.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
Chirp 3 Speech-to-Text — common questions
When was Chirp 3 Speech-to-Text released?
Chirp 3 Speech-to-Text was published in March 2025.
What is Chirp 3 Speech-to-Text used for?
Chirp 3 Speech-to-Text works in Speech, and is recorded as handling speech recognition (ASR), Speech-to-text, Translation. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.
What GPU do I need to run Chirp 3 Speech-to-Text?
None. Chirp 3 Speech-to-Text is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
Is Chirp 3 Speech-to-Text open source?
No. Chirp 3 Speech-to-Text has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Chirp 3 Speech-to-Text have?
No parameter count has been published for Chirp 3 Speech-to-Text, which is why no memory or speed figure appears on this page.
Who created Chirp 3 Speech-to-Text?
Chirp 3 Speech-to-Text was published by Google,Google DeepMind, based in United States of America, categorised as industry,Industry.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.