Google’s Most Powerful Speech-to-Text Model Debuts: Ranks Among Top 5 in Accuracy, Still Falls Short of ElevenLabs
47 minutes ago
Beating AI News Flash: Google has launched Gemini 3.5 Transcribe, its most accurate speech-to-text model to date, and the first dedicated transcription model from Google to feature a Smart mode. The model comes in two versions—real-time and audio recording transcription—and is now open for public beta testing via the Gemini API. In an evaluation by Artificial Analysis, the non-streaming Word Error Rate (WER, lower is better) stands at 2.6%, while the real-time version hits 4.0%. Final transcription latency is 70% shorter than that of its predecessor, Chirp 3. The Smart mode goes beyond literal word-for-word transcription: for example, if a user says “Meeting on Tuesday, no, Wednesday,” it will retain only “Wednesday”; filler words like “um” and “ah” are automatically removed, and spoken content can be organized into paragraphs, lists, dates, and numbers. For verbatim meeting notes, users can switch back to the default literal transcription mode. The model supports over 85 languages, allows mid-transcription language switching, and supports adding custom domain-specific vocabulary. Pricing is approximately $0.005 per minute for audio transcription (equivalent to $5 per 1,000 minutes) and $0.009 per minute for the real-time version. In independent benchmarks, Gemini 3.5 Transcribe is more accurate than OpenAI’s GPT Transcribe (3.3% WER) but lags behind ElevenLabs’ Scribe v2, which has a 2.2% WER and costs roughly $3.67 per 1,000 minutes. The model is already integrated into Android’s Rambler and the macOS version of Gemini, and will soon roll out to Chrome, enabling direct voice-to-text input in web text boxes.
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