Models / sprag/ sprag Symphony

sprag Symphony

sprag

Speech to textTranscribes a recording into words

Input: audio. Output: text.InputOutput
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

We have not written a summary of this model yet.

00

How good is it?

A speech-to-text model for turning recordings of meetings, podcasts and accented speakers into written text.

Good at
  • turning spoken English into written textOpen ASR WER · 13th of 76
  • transcribing speakers with a range of accentsAccented speech · 13th of 76
  • transcribing podcasts and video audioPodcasts and video · 16th of 92
  • transcribing clear recordings of people reading aloudClean read speech · 7th of 92

TranscriptionTurning speech into text4 of 5Open ASR WER · 13th of 76

Words it gets right

95.6%

Misses roughly one word in 23, averaged over nine English test sets.

Languages

19

Stated by the leaderboard; we do not hold the list itself.

Where it struggles
Read aloudaudiobooks, clean recording1%7th of 92
Podcasts and videoeveryday internet audio7.5%16th of 92
Accented speechspeakers from many countries6%13th of 76
Meetingsa room, several people, far microphone9%32nd of 92

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.

Other boards it appears on
Clean read speech 7th of 92Harder read speech 10th of 92Podcasts and video 16th of 92Financial calls 30th of 92European-accented speech 31st of 92Recorded meetings 32nd of 92Accented speech 13th of 76

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.
4.35source ↗
6.01source ↗
2.21source ↗
9.02source ↗
3.33source ↗
7.52source ↗
1source ↗
2.19source ↗
01

Where to get it

We hold no priced listing for sprag Symphony.

There is no copy to download and no host in our price data, so sprag 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 sprag sells.

02

When we formed this view

Recent changes

Sep 28, 2026ListedListed on LLMap
What movedfirst indexed by our pipeline
Sep 28, 2026BenchmarkScored 4.35 on Open ASR WER
What movedleaderboard
Sep 28, 2026BenchmarkScored 6.01 on Accented speech
What movedleaderboard
Sep 28, 2026BenchmarkScored 2.21 on Financial calls
What movedleaderboard
Sep 28, 2026BenchmarkScored 9.02 on Recorded meetings
What movedleaderboard
Sep 28, 2026BenchmarkScored 3.33 on European-accented speech
What movedleaderboard
Sep 28, 2026BenchmarkScored 7.52 on Podcasts and video
What movedleaderboard
Sep 28, 2026BenchmarkScored 1 on Clean read speech
What movedleaderboard
Sep 28, 2026BenchmarkScored 2.19 on Harder read speech
What movedleaderboard

Each 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.
03

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
sprag-symphony

Machine-readable model card (omc.json) →

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