Model guide

Whisper Large V3 Turbo Q5_0 for dictation on Mac

OpenAI's Whisper Large V3 Turbo, quantized to 5 bits in the whisper.cpp GGML format. It is Codictate's default model and ships with the app.

Measured in Codictate on an Apple M4 Max, at least 902 recordings per language

Word accuracy
93.5%
Wait per second of audio
66 ms
Peak RAM
778 MB
Download
574 MB
Languages
All Whisper languages
Translates to English
No

Whisper Large V3 Turbo Q5_0 accuracy by language

The share of words transcribed correctly, so higher is better. English comes from LibriSpeech audiobooks, the other languages from FLEURS read speech.

LanguageWord accuracy
English (clean)97.0%
English (noisy)94.8%
Spanish96.7%
Danish86.1%
Hungarian83.0%

Word accuracy above is pooled over English (clean), English (noisy), Spanish, Danish, Hungarian: total word errors over total words spoken, not an average of the rows.

The Whisper Large V3 Turbo Q5_0 model file

The file is ggml-large-v3-turbo-q5_0.bin, published at ggerganov/whisper.cpp on Hugging Face. It is Codictate's default model and comes with the app, so there is nothing to download.

How it compares

Every model with a guide, from the same recordings. Wait is milliseconds per second of audio, so lower is better.

ModelWord accuracyWait per second of audioPeak RAMDownloadLanguages
Whisper Large V3 Turbo Q5_093.5%66 ms778 MB574 MBAll Whisper languages
Whisper Large V3 Q5_094.0%106 ms1.5 GB1.1 GBAll Whisper languages
Whisper Large V394.0%164 ms3.5 GB3.0 GBAll Whisper languages
Whisper Large V3 Turbo93.6%93 ms1.9 GB1.6 GBAll Whisper languages
Whisper Medium Q5_090.8%65 ms878 MB514 MBAll Whisper languages
Whisper Small Q5_180.7%-383 MB181 MBAll Whisper languages
Parakeet TDT 0.6B v392.0%11 ms80 MB500 MB25
Hviske v5 Tiny Q5_088.7% (Danish)18 ms327 MB181 MBDanish
Edda v0.2 Q5_092.5% (Danish)53 ms787 MB547 MBDanish

Which model to pick · All benchmarks, including Wispr Flow · How we measure · Whisper Large V3 Turbo Q5_0 benchmark (Sep 2026)

Dictate with Whisper Large V3 Turbo Q5_0

Codictate is free and open source for Mac and Windows. Press the shortcut, speak, and the text lands wherever your cursor is. The model runs on your machine, so your audio never leaves it.

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