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Google's Gemini 3.5 Transcribe turns speech to text in 85 languages while auto-correcting your verbal stumbles

4.0% WER, 85 languages, 70% lower latency: Google's Gemini 3.5 Transcribe rewrites the speech-recognition benchmark.

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The KeyNews take

Why it matters

Google shipped a major speech-recognition model with measurably better capability (WER, latency, language coverage, real-time correction) than its predecessor. This is a frontier capability release that sets new bars for multimodal model performance and changes what practitioners expect from speech-to-text systems.

The key facts

6 to know
  1. 85 languages supported

  2. 4.0% word error rate in streaming mode

  3. 70% lower latency than Chirp 3 predecessor

  4. Real-time filler-word removal and diarization

  5. Function calling enables handoff to other Gemini models

  6. Model name: Gemini 3.5 Transcribe

Go to the source

The Decoderthe-decoder.com

Publisher excerpt: Google's new Gemini 3.5 Transcribe recognizes over 85 languages, strips filler words, and corrects slips of the tongue in real time. It hits a 4.0 percent word error rate in streaming mode, with 70 percent lower latency than its predecessor, Chirp 3. Through function calling, the model can hand off…
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