whatmodel.sh / stt / Fish Audio Transcribe 1
Fish Audio Transcribe 1
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Fish Audio Transcribe 1 is a closed-weights speech-to-text model from Fish Audio. Licence: proprietary.
Catalogue identity notes
Fish Audio's speech-to-text model transcribe-1 on POST https://api.fish.audio/v1/asr. Fish docs: 'transcribe-1 | General transcription of short recordings. Used when the model header is missing or not an exact match'; the newer transcribe-1-pro (changelog 'Transcribe 1 Pro', September 18, 2026) is a separate model. verli ran it in July 2026 without a model header, i.e. transcribe-1. First-party release month not found, so released is left out. Closed weights.
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 Fish Audio Transcribe 1, out of 176 with a score.
| # | model | score | where |
|---|---|---|---|
| 20 | 62±4 | local | |
| 21 | 62±8 | api $0.0060/audio min | |
| 22 | 62±5 | api $0.0060/audio min | |
| 23 | 62±6 | api $0.0025/audio min | |
| 24 | 62±4 | comparison only |
see all speech-to-text models · find the ones that fit your machine
$ what it's good at
other tests3 not in a task · 91% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| verli STT benchmark · LibriSpeech test-clean WER | 1.7% ✎ | ▃·····▃▅█▃▅▅ beats 8/11 | 48% |
| verli STT benchmark · SPGISpeech 1,200-clip sample WER | 2.6% ✎ | ▂·····▄▂█▃▂▄ beats 8/11 | 22% |
| verli STT benchmark · Earnings-22 WER (2,741 utt.) | 10.3% ✎ | ▃·▃▅··▃▃▅▅█▃ beats 12/13 | 21% |
$ where to run it
Through an API
api · $0.0060/audio min · docs.fish.audio ↗ · price sourceUSD per input audio minute: Fish Audio's Pricing & Rate Limits page, 'Automatic Speech Recognition (ASR) Models' table, lists `transcribe-1` at $0.36 / audio hour (÷60); `transcribe-1-pro` costs the same. Product: Fish Audio Speech to Text API (POST /v1/asr). API model: transcribe-1 (served when the model header is missing). Price basis: published pay-as-you-go list rate. Currency: USD. Fish Audio official docs, observed 2026-10-09.
$ how the score was worked out · verliapp/stt-benchmark · inde… 91%
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 |
|---|---|---|
| 3 | 91% | |
| prior · pull toward the middle | 9% | |
| weighted average | = 62.2 |
$ 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