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Soniox v5 Async
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Soniox v5 Async is a closed-weights speech-to-text model from Soniox, released June 2026. Licence: proprietary.
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 Soniox v5 Async, out of 176 with a score, then more from Soniox.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 4 |  Universal-3.6 Pro Realtime | 70±3 | api $0.0075/audio min | ||
| 5 |  Linden 1 (Agent STT) | 69±3 | api $0.0050/audio min | ||
| 6 | Soniox v5 Async | 68±5 | api $0.0017/audio min | ||
| 7 |  Ink-2 | 68±3 | api $0.0065/audio min | ||
| 8 | Universal-3.5 Pro | 67±3 | api $0.0035/audio min | ||
| more from Soniox | |||||
| 9 | Soniox v5 Real-Time | 67±3 | api $0.0020/audio min | ||
| 10 | Soniox v4 Real-Time | 67±3 | comparison only | ||
see all speech-to-text models · find the ones that fit your machine
$ what it's good at
other tests1 not in a task · 92% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Bangla STT benchmark · BanSpeech 1,001-clip batch CER | 8.1% ✎ | █·▄··▄··▄·▄▄ beats 5/6 | 92% |
$ where to run it
Through an API
api · $0.0017/audio min · soniox.com ↗ · price sourceUSD per input audio minute: Soniox bills tokens but itself publishes Speech-to-Text at $0.10/hour for async (file uploads) (÷60); vendor-published per-hour equivalent. Product: Soniox async STT API. API model: stt-async-v5. Settings: async file transcription. Price basis: vendor-published hourly equivalent, per-hour to per-minute scaling only. Exclusions: real-time ($0.12/hr), translation/custom token usage. Currency: USD. Soniox official pricing page, observed 2026-09-25.
$ how the score was worked out · Bangla Speech-to-Text Benchma… 92%
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 |
|---|---|---|
 Bangla Speech-to-Text Benchmark v1.0 (Riverborn) | 1 | 92% |
| prior · pull toward the middle | 8% | |
| weighted average | = 68.2 |
$ 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