Resonant 1
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 29, 2026Resonant 1 is a speech-to-text model with strong measured accuracy on clean and accented English, but we list no download and no host for it, so there is no route to run it that our data supports. Its weak spot is corporate earnings calls, where it sits near the bottom of the field.
Reach for it on clearly recorded English speech — read-aloud audio, podcasts, video — or on accented English, where it is better than most models on that condition. Before you plan around it, note that we list neither a download nor a host, so there is no way to run it that our data supports. Skip it if you need accurate transcription of corporate earnings calls, or if you need a route to run it at all.
The case for it
- On clean read-aloud recordings it gets 0.9% of words wrong, better than most models on that condition, so read-aloud material is where it earns its place.
- On accented speech it gets 5.5% of words wrong, better than most models on that condition, which makes it a reasonable first trial for non-native English.
- On podcast and video recordings it gets 7.4% of words wrong, better than most models on that condition, so everyday internet audio is within its range.
- 5th of 76 on Open ASR WER as of 28 Sep 2026, which puts it in the top group on the board's overall English measure.
The case against it
- On corporate earnings calls it gets 2.77% of words wrong, 57th of 92 on Financial calls as of 28 Sep 2026 — a weak placing on that kind of recording.
- We list no download for it and no host for it, so there is no route to run it that our data supports.
- Every accuracy figure we hold is English; nine languages are listed but none of the others is measured, so accuracy in them is unverified.
How good is it?
A speech-to-text model for turning recordings of meetings, podcasts and accented speakers into written text.
- turning spoken English into written textOpen ASR WER · 5th of 76
- 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 · 2nd of 92
TranscriptionTurning speech into text4.5 of 5Open ASR WER · 5th 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.
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