Whisper Large v3 Turbo
Hacker ApprovedRanked 10 of 25 speech recognition models by recommenders
Recommended for accurate, fast speech-to-text on accents, jargon and several languages, including real-time use on Apple silicon.
Recommended for accurate, fast speech-to-text on accents, jargon and several languages, including real-time use on Apple silicon.
12 people gave an opinion
- recommend it
- 12
- criticize it
- 0
- approval share
- 100%
Recommended in 8 of 13 months
- November 2025: not recommended
- December 2025: recommended
- January 2026: recommended
- February 2026: recommended
- March 2026: recommended
- April 2026: not recommended
- May 2026: not recommended
- June 2026: recommended
- July 2026: recommended
- August 2026: recommended
- September 2026: not recommended
- October 2026: recommended
- November 2026: not recommended (month in progress)
Why it carries the badge
- 12 people recommend itNeeds 10 or more, met.
- Nobody criticizes itNeeds 2 to 1 or better, met.
- Recommended in 8 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Accurate on accents, jargon and noise
“There is also an accurate engine, which uses Whisper large-v3-turbo via WhisperKit, which is slower but holds up better on accents and jargon.”
Comment from 15 Jun 2026 on Hacker News “far more accurate in real life dictation compared to even the parakeet models”
Comment from 13 Jul 2026 in “Apple's new SpeechAnalyzer API, benchmarked against Whisper and its predecessor” “Whisper handles noisy/accented audio more robustly”
Comment from 15 Mar 2026 in “Nvidia PersonaPlex 7B on Apple Silicon: Full-Duplex Speech-to-Speech in Swift” Fast enough for real-time use
“The large-turbo model however is pretty decent and on Apple silicon fast enough for real time conversations.”
Comment from 10 Feb 2026 in “Pure C, CPU-only inference with Mistral Voxtral Realtime 4B speech to text model” “transcribes a full paragraph in under a second”
Comment from 17 Feb 2026 in “Show HN: Free Alternative to Wispr Flow, Superwhisper, and Monologue” Runs locally on Apple devices
“The large-turbo model however is pretty decent and on Apple silicon fast enough for real time conversations.”
Comment from 10 Feb 2026 in “Pure C, CPU-only inference with Mistral Voxtral Realtime 4B speech to text model” “works fine locally on recent iphones”
Comment from 13 Jul 2026 in “Apple's new SpeechAnalyzer API, benchmarked against Whisper and its predecessor”
Other speech recognition models people recommend
The four most recommended other speech recognition models, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| OpenAI Whisper | 164 | 53 | 76% | 12 | — | Approved |
| NVIDIA Parakeet | 144 | 27 | 84% | 12 | — | Approved |
| Mistral Voxtral | 69 | 27 | 72% | 8 | — | Approved |
| Moonshine open-weights STT models | 37 | 13 | 74% | 7 | — | Approved |
| Whisper Large v3 TurboThis page | 12 | 0 | 100% | 8 | — | Approved |
What people said
12 of the 13 comments that mention it, newest first. Each links to the original comment.
“it seems like I made the right move by sticking with whiser.cpp this whole time”
“works well for me for multiple different languages”
“works fine locally on recent iphones”
“far more accurate in real life dictation compared to even the parakeet models”
“There is also an accurate engine, which uses Whisper large-v3-turbo via WhisperKit, which is slower but holds up better on accents and jargon.”
“Whisper handles noisy/accented audio more robustly”
“I went back to Whisper because with dictation if you can't trust the tool, you won't bother to dictate.”
“transcribes a full paragraph in under a second”
“The large-turbo model however is pretty decent and on Apple silicon fast enough for real time conversations.”
“the slight drop in accuracy relative to Whisper Turbo3 is immaterial”
“slightly more accurate and it had a 3-4 second lag”
“We reach on average +50% accuracy.”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.