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.

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 know85 languages supported
4.0% word error rate in streaming mode
70% lower latency than Chirp 3 predecessor
Real-time filler-word removal and diarization
Function calling enables handoff to other Gemini models
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…