Resonant 1 Flash
Reson8
Speech to textTranscribes a recording into words
- Type
- Closed
- Input
- None held
- Output
- None held
- Cached
- None held
We don't hold a list price for this model yet · hosted only — no weights published
Our take
Written Sep 11, 2026Resonant 1 Flash is a proprietary speech-to-text model from Reson8 that turns audio into written words. It performs better than most rivals across every English recording condition we track, from clean studio audio to messy meeting-room recordings, though it is not the absolute best on any single one.
Pick this for general-purpose English transcription where you need one model to handle both polished podcasts and noisy meeting rooms, or for European-accented financial calls where it outperforms most alternatives. Skip it if you need a public deployment path, non-English languages, or the absolute lowest error rate on a specific condition.
The case for it
- Better than most on every condition measured: read-aloud, podcasts, accented speech and meetings.
- Especially strong on accented earnings calls at 5.48% word error, roughly 1.4 times better than the median of 62 models.
- Near the top on clean audio at 0.95% word error, against a median of 1.4% across 78 models.
The case against it
- Not the absolute best on any condition: 0.95% vs 0.9% on read-aloud, 8.21% vs 6.1% on meetings.
- No deployment path in our data: proprietary weights, no licence disclosed, and no tracked offers.
- Error rates rise sharply with audio difficulty, as for every model — meetings are about 8.6 times worse than clean read-aloud.
How good is it?
A closed speech-to-text model for turning recordings of meetings, podcasts and accented speakers into written text.
- turning spoken English into written textOpen ASR WER · 6th of 76
- transcribing recordings of meetings in a roomRecorded meetings · 23rd of 92
- transcribing speakers with a range of accentsAccented speech · 5th of 76
- transcribing podcasts and video audioPodcasts and video · 12th of 92
- transcribing clear recordings of people reading aloudClean read speech · 4th of 92
TranscriptionTurning speech into text4.5 of 5Open ASR WER · 6th of 76
96%
Misses roughly one word in 25, averaged over nine English test sets.
9
Stated by the leaderboard; we do not hold the list itself.
Percentage of words wrong on each set, lower better. Bars are scaled to this model's own worst case; the placing beneath each rate is against every model measured on that set.
The figures above come from the Open ASR Leaderboard, an independent public test that runs every model on the same recordings. It is the only measurement of transcription quality we know of, so there are no other scores to show.
Each of these is the same transcription job on a different kind of recording, so together they say where it holds up and where it slips — not how closely it follows an instruction.
Every published score for this model8 scoresEvery figure we hold, from 8 boards, with who ran it and a link to the source — including the boards no rating above is built on.
Where to get it
We hold no priced listing for Resonant 1 Flash.
There is no copy to download and no host in our price data, so Reson8 is where to look. We watch OpenRouter, the provider APIs we track and the LiteLLM price set; this version appears in none of them, which is a gap in what we collect rather than a statement about what Reson8 sells.
When we formed this view
Recent changes
What moved
first indexed by our pipelineEach date is the day we first saw the change, or the day the maker announced it.
What we do not know about this model yet
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
- We don't hold a list price for this model yet — the gap is ours, not the lab's.
Licence and identifiers
What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.
Licence
We hold no licence row of this model's own. A source states its weights are not published, so the determination that governs it is the one for closed weights, API access only.
Identifiers
- Takes in, gives back
- Audio in, text out
- Catalogue slug
- reson8-resonant-1-flash