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Avalon v1 (en)
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Avalon v1 (en) is a closed-weights speech-to-text model from Aqua Voice, released August 2025. Licence: proprietary.
Catalogue identity notes
Aqua Voice API model 'avalon-v1-en' (leaderboard aquavoice_provider.py). Launched 2025-08-22. The Avalon API page (observed 2026-09-28) documents only 'avalon-v1.5', a newer model, so api is null.
Score within the Open ASR English short-form WER (March 2026) comparison set only.
$ how it compares
The speech-to-text models ranked either side of Avalon v1 (en), out of 176 with a score.
| # | model | score | where |
|---|---|---|---|
| 45 |  Granite Speech 3.3 8B | 59±5 | local |
| 46 |  Voxtral Mini Transcribe V2 | 59±3 | api $0.0030/audio min |
| 47 | Avalon v1 (en) | 59±5 | comparison only |
| 48 |  GPT-Realtime-Whisper | 59±3 | api $0.017/audio min |
| 49 |  Canary-1B | 59±3 | local |
see all speech-to-text models · find the ones that fit your machine
$ what it's good at
other tests1 not in a task · 90% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Open ASR English short-form WER (March 2026) | 6.2% ✎ | ▁▁▁▃··▁▁▂██▆ beats 75/86 | 90% |
$ where to run it
No verified API or download recorded yet · add one
$ how the score was worked out · Open ASR Leaderboard 90%
Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works
| source | results | share of the score |
|---|---|---|
 Open ASR Leaderboard | 1 | 90% |
| prior · pull toward the middle | 10% | |
| weighted average | = 59.2 |
$ improve this page
Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.
data updated · sources and licences · json