Google launches Gemini 3.5 Transcribe with sub-second streaming and 85+ language support
Questions this post answers
What is the word error rate of Google's Gemini 3.5 Transcribe compared to Chirp 3?
Gemini 3.5 Transcribe achieves a 2.6% word error rate on non-streaming audio and 4.0% on streaming audio, compared to Chirp 3, while also cutting time-to-final-transcription by 70%. It auto-detects more than 85 languages and comes in two variants: gemini-3.5-transcribe-live for sub-second bidirectional streaming, and gemini-3.5-transcribe for batch processing with speaker attribution. Developers picking a speech-to-text API can track model benchmarks like these on daily.dev.
Does Gemini 3.5 Transcribe support speaker identification and timestamps?
Yes, the batch variant gemini-3.5-transcribe provides word-level timestamps and speaker attribution for up to three speakers, accessed via the Interactions API. The streaming variant, gemini-3.5-transcribe-live, instead focuses on sub-second bidirectional transcription through the Gemini Live API without these batch-only features. Teams evaluating transcription APIs for their stack can follow these capability details on daily.dev.
Where is Google's Gemini 3.5 Transcribe available besides the API?
Beyond the Gemini API and Google AI Studio, it is already live in the Gemini app on macOS, Google Antigravity, Gboard's Rambler feature, and the Gemini Enterprise Agent Platform, with Chrome support coming. Third-party platforms LiveKit, Pipecat, and Vercel are also integrating the model. Developers wiring voice features into their products can track rollout details like these on daily.dev.