Title: Whisper large-v3-turbo vs Whisper large-v3: Paraim%C3%A9adair %E2%80%94 LLM EU
Canonical: https://llmeu.com/ga/compare/whisper-large-v3-turbo-vs-whisper-large-v3/
Markdown mirror: https://llmeu.com/ga/compare/whisper-large-v3-turbo-vs-whisper-large-v3.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# Whisper large-v3-turbo vs Whisper large-v3

Cuir dh%C3%A1 n%C3%B3 ceithre mh%C3%BAnla i gcompar%C3%A1id ar na r%C3%A9ims%C3%AD a chinneann imscaradh: comhth%C3%A9acs, praghas, r%C3%A9igi%C3%BAn, cead%C3%BAnas, teangacha, %C3%B3st%C3%A1il, agus cad at%C3%A1 f%C3%ADoraithe.

Nuair a bh%C3%ADonn dh%C3%A1 mh%C3%BAnla difri%C3%BAil, taispe%C3%A1nann an t%C3%A1bla seo an difr%C3%ADocht agus stopann s%C3%A9. N%C3%AD fhoils%C3%ADonn LLM EU suaitheantas buaiteora gan sc%C3%B3r doicim%C3%A9adaithe don tasc sin, agus fanann figi%C3%BAr at%C3%A1 ar iarraidh ar iarraidh seachas a bheith ina nialas.

## Cathain a %C3%BAs%C3%A1idtear %C3%A9

### [Whisper large-v3-turbo](/ga/models/whisper-large-v3-turbo/)

#### L%C3%A1idreachta%C3%AD

- roughly half the parameters of large-v3 at lower latency
- MIT licence, more permissive than the Apache-2.0 parent
- same multilingual transcription coverage as large-v3

#### Teorainneacha

- a distillation of large-v3, so transcription accuracy is below the parent model
- no benchmark table specific to this variant is published on the model card
- fixed 30-second receptive field, so longer audio needs chunking logic

#### Tascanna

[Aistri%C3%BAch%C3%A1n](/ga/tasks/translation/), [Taca%C3%ADocht ilteangach](/ga/tasks/multilingual-support/), [Costas %C3%ADseal](/ga/tasks/cheap/)

### [Whisper large-v3](/ga/models/whisper-large-v3/)

#### L%C3%A1idreachta%C3%AD

- one model for transcription and translation to English
- long-standing tooling support across every major inference stack
- Apache-2.0 licence

#### Teorainneacha

- fixed 30-second receptive field; longer audio needs chunking logic
- the card only claims strong recognition for about ten languages
- the card advises against using it for classification or speaker attributes

#### Tascanna

[Aistri%C3%BAch%C3%A1n](/ga/tasks/translation/), [Taca%C3%ADocht ilteangach](/ga/tasks/multilingual-support/), [Achoimri%C3%BA](/ga/tasks/summarization/)

**Tascanna:** [Aistri%C3%BAch%C3%A1n](/ga/tasks/translation/), [Taca%C3%ADocht ilteangach](/ga/tasks/multilingual-support/)

## Cuir m%C3%BAnla%C3%AD i gcompar%C3%A1id

- [Bloom 1b1 vs Whisper large-v3-turbo](/ga/compare/bloom-1b1-vs-whisper-large-v3-turbo/)
- [Bloom 3B vs Whisper large-v3](/ga/compare/bloom-3b-vs-whisper-large-v3/)
- [Bloom 560M vs Whisper large-v3-turbo](/ga/compare/bloom-560m-vs-whisper-large-v3-turbo/)
- [Bloomz 560M vs Whisper large-v3-turbo](/ga/compare/bloomz-560m-vs-whisper-large-v3-turbo/)
- [EuroLLM-1.7B-Instruct vs Whisper large-v3](/ga/compare/eurollm-1-7b-instruct-vs-whisper-large-v3/)
- [Falcon H1 0.5B Base vs Whisper large-v3-turbo](/ga/compare/falcon-h1-0-5b-base-vs-whisper-large-v3-turbo/)