Best multilingual speech-to-text models for a 32GB Mac
A leaderboard of the best multilingual speech-to-text models for a Mac with 32GB of memory. The best one that runs on it right now is SeamlessM4T v2 Large, followed by Whisper large-v3 and Omnilingual ASR LLM 7B v2. Models are ranked on transcription tests in many languages. Models that run on it show the download that fits and the command to run it.
Scores use reviewed multilingual transcription evaluations only. Compare scores within this task. Models without task measurements are excluded.
+ more
$ terminal
↗ share
detecting your OS…
Score vs API price
● open weights ◆ API only ─┘ best score for the price · x: USD per audio minute (log)
| # | model | task score↓ | where↓ | speed↓ | sources |
|---|
| # | model | task score↓ | where↓ | speed↓ | sources |
|---|---|---|---|---|---|
| 1 | 83±5 | api $0.0037/audio min | |||
| 2 | 79±8* | local | |||
| 4 | 69±10* | api $0.0035/audio min | |||
| 5 | 67±16* | api price unknown | |||
| 6 | 65±7* | api $0.0040/audio min | |||
| 7 | 64±9* | api $0.0042/audio min | |||
| 8 | 61±6* | local | |||
| 9 | 60±9* | api $0.0067/audio min | |||
| 10 | 59±9* | local | |||
| 11 | 59±10* | api $0.0052/audio min | |||
| 12 | 59±6* | local | |||
| 13 | 57±6* | local | |||
| 14 | 57±9* | local | |||
| 15 | 51±6* | local | |||
| 16 | 51±9* | local | |||
| 17 | 50±9* | local | |||
| 18 | 49±6 | local | |||
| 19 | 49±9* | local | |||
| 20 | 48±9* | local | |||
| 22 | 48±5 | local | |||
| 23 | 47±9* | local | |||
| 24 | 47±9* | local | |||
| 25 | 46±9* | local | |||
| 26 | 46±6* | local | |||
| 27 | 44±9* | local | |||
| 28 | 42±6*† | api $0.0030/audio min | |||
| 29 | 41±9* | local | |||
| 31 | 37±4 | local | |||
| 32 | 37±6 | api $0.0030/audio min | |||
| 33 | 35±9* | local | |||
| 34 | 33±9* | local | |||
| 35 | 31±9* | local | |||
| 36 | 14±9* | local | |||
| 37 | 12±9* | local |
+ 3 more don't fit your machine or budget · show them
37 of 37 catalogue models listed here · sources and licences
* new or thinly tested: ranked on too few benchmark results · † only the maker’s own numbers so far · ~RAM is estimated; full context may need more memory