#1
Fun-Realtime-ASR-preview
Alibaba
Preview
Has the lowest displayed AA-WER on the selected non-streaming table.
AA-WER1.7%
- lowest displayed wer
- strong transcription accuracy
The model that wins your task, wired into your business.
No single model wins everything. Today the leader in code is not the leader in voice, the best model for documents loses on images, and half of these positions move within a month. That is what the board below is for: the top 3 for each of 26 tasks, rebuilt every 10 days from public leaderboards and independent tests.
Then I build the thing that uses it. Agents that handle support, pipelines that read invoices and contracts, voice that answers the phone, bots that qualify leads while you sleep. It plugs into what you already run — CRM, spreadsheets, Telegram, your own API — and every step calls the model that wins that particular step, whichever provider it belongs to.
Write me on Telegram — @simvimTell me which process eats your week. I answer myself.
Speech to text
Speech to text
For transcribing spoken audio into text.
Lower WER is better.
#2
ElevenLabs Scribe v2
ElevenLabs
Places second on the selected composite transcription error metric.
AA-WER2.2%
- low transcription error
- broad speech recognition
#3
MAI-Transcribe-1.5
Microsoft AI
Places third on the selected non-streaming speech benchmark.
AA-WER2.4%
- low speech error
- strong accuracy latency
How the ranking is built
There is no single “best AI model” here. Every task is judged on its own: public leaderboards, independent tests and official model data, weighed together rather than copied from one board. The whole thing is re-checked every 10 days. Two modes of the same base model never take two places in one top 3. Likes are a separate reader signal — they never move the ranking.