Google Launches Three New Gemini Audio Models That Handle Jargon, Interruptions and 85 Languages

Gemini 3.5 Transcribe, 3.5 Live and 3.5 Live Experimental are rolling out now, and the transcription model is a first for the Gemini family.

AI2Day NewsdeskAI-assistedPublished Updated Editor: Lee Brown3 min read
Illustration for the story: Google Launches Three New Gemini Audio Models That Handle Jargon, Interruptions and 85 Languages
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Key points

  • Google released three new Gemini Audio models on 22 July 2025: Gemini 3.5 Transcribe, 3.5 Live and 3.5 Live Experimental.
  • Gemini 3.5 Transcribe supports more than 85 languages and can tell apart up to three different speakers in a pre-recorded audio file.
  • The new models handle background noise and mid-sentence interruptions better than their predecessors, Google says.
  • Gemini 3.5 Transcribe is available today in English for macOS Gemini app users and on Android via the Rambler dictation feature in select countries.
  • Developers can access all three models in public preview through the Gemini API.

Google has shipped three new voice and transcription models under the Gemini Audio label, and at least one is something the company has never offered before.

The biggest newcomer is Gemini 3.5 Transcribe, a dedicated speech-to-text model, meaning software that listens to spoken audio and converts it into written text. Google says it replaces Chirp 3, with particular improvements to multilingual accuracy and fewer wording errors. Those are meaningful claims for anyone who's watched a transcription tool mangle a medical term or a proper noun.

What can it actually do?

Quite a lot. It strips out filler words like "um" and "uh" automatically, formats the text, and lets you supply a custom vocabulary list so specialist jargon is recognised from the start rather than corrected away.

That last feature matters for doctors, lawyers or anyone whose work lives in a specialised vocabulary. Instead of fixing errors by hand after every recording, you give the model your word list once.

The model can also identify up to three separate speakers in a pre-recorded audio file and attach word-level timestamps, so you know exactly who said what and when. These details were confirmed in Google's own product announcement.

Who gets access right now?

Rollout is limited but real. English-language users on the macOS Gemini app get it today, as do Android users in select countries through a dictation feature called Rambler. Developers can try all three models through the Gemini API, the programming interface that lets software teams build Google's AI into their own products, via a testing environment called AI Studio. Google says Chrome browser support is coming soon.

Model What it does Status
Gemini 3.5 Transcribe Converts speech to text; strips filler words; tags speakers Available now (English, macOS + Android Rambler)
Gemini 3.5 Live Real-time voice chat; better with interruptions and accents Available now
Gemini 3.5 Live Experimental Narrates its own reasoning aloud during complex tasks Available now (developer preview)

Gemini 3.5 Live and Gemini 3.5 Live Experimental update the voice chat technology already inside Gemini. Live copes better when you cut yourself off mid-sentence or switch languages. Experimental goes further: it talks through its own thinking in real time on harder questions, which can make it easier to catch when it goes wrong.

One thing worth noting

Google promised to release a Gemini 3.5 Pro model in June. It hasn't appeared yet. These audio models are separate from that and don't fill that gap. Worth keeping in mind before assuming Google's roadmap is back on schedule.

Our piece on AI speech models cheating their own benchmarks from 21 August found that high accuracy scores don't always reflect real-world performance, so it's worth running Gemini 3.5 Transcribe against your own audio before trusting it with anything critical.

The honest takeaway: if you spend time fixing transcription errors by hand after recorded meetings or medical notes, this model's worth testing the moment it reaches your device. Set up a custom vocabulary list on day one. That single step will save more time than any other feature on offer here.

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