3 ms·
You can test Gemini 3.1 Lite transcription capabilities in https://ottex.ai https://ottex.ai — the only dictation app supporting Gemini models with native audio
by k9294 7mo ago
You can test Gemini 3.1 Lite transcription capabilities in https://ottex.ai https://ottex.ai — the only dictation app supporting Gemini models with native audio input.
We benchmarked it for real-life voice-to-text use cases:
<10s 10-30s 30s-1m 1-2m 2-3m
Flash 2548 2732 3177 4583 5961
Flash Lite 1390 1468 1772 2362 3499
Faster by 1.83x 1.86x 1.79x 1.94x 1.70x
(latency in ms, median over 5 runs per sample, non-streaming)
Key takeaways:
- 1.8x faster than Gemini 3 Flash on average
- ~1.4 sec transcription time for short to medium recordings
- ~$0.50/mo for heavy users (10h+ transcription)
- Close to SOTA audio understanding and formatting instruction following
- Multilingual: one model, 100+ languages
Gemini is slowly making $15/month voice apps obsolete.
- simianwords 7mo agoYou know what would be great? A light weight wrapper model for voice that can use heavier ones in the background. That much is easy but what if you could also speak to and interrupt the main voice model and keep giving it instructions? Like speaking to customer support but instead of putting you on hold you can ask them several questions and get some live updates
- k9294 7mo agoIt's actually a nice idea - an always-on micro AI agent with voice-to-text capabilities that listens and acts on your behalf. Actually, I'm experimenting with this kind of stuff and trying to find a nice UX to make Ottex a voice command center - to trigger AI agents like Claude, open code to work on something, execute simple commands, etc.
- stri8ted 7mo agoCan you show some comparisons for WER and other ASR models? Especially for non english.
- k9294 7mo agoI've been experimenting with Gemini 3.1 Flash Lite and the quality is very good. I haven't found official benchmarks yet, but you can find Gemini 3 Flash word error rate benchmarks here: https://artificialanalysis.ai/speech-to-text/models/gemini https://artificialanalysis.ai/speech-to-text/models/gemini — they are close to SOTA. I speak daily in both English and Russian and have been using Gemini 3 Flash as my main transcription model for a few months. I haven't seen any model that provides better overall quality in terms of understanding, custom dictionary support, instruction following, and formatting. It's the best STT model in my experience. Gemini 3 Flash has somewhat uncomfortable latency though, and Flash Lite is much better in this regard.