Models / Gladia/ Solaria 3

Solaria 3

Gladia

Speech to textTranscribes a recording into words

Input: audio. Output: text.InputOutput
Type
Proprietary
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 Aug 2, 2026

Solaria 3 is Gladia's hosted-only speech-to-text model that turns audio into written words. It excels on clean recordings and financial calls but degrades sharply on meetings, podcasts and accented speech.

Who should pick it

Pick this for financial calls or clean read-aloud transcription where a low error rate is acceptable, or for European-accented English where it performs notably better than on general accented speech. Skip it if you need to transcribe meetings, podcasts, video, or heavily accented speech, or if you want to self-host or compare prices across providers.

The case for it

  • Exceptional accuracy on clean, structured audio: about one word in seventy-six wrong on read-aloud speech, and about one in thirty-seven on financial calls.
  • Strong performance on European-accented English, with a gap of roughly 3.8 times in its favour over general accented speech.

The case against it

  • Severe degradation on challenging audio: roughly eight times the error rate on recorded meetings and general accented speech compared with clean read-aloud.
  • Weak on podcasts and video, at more than five and a half times the error rate of clean speech.
  • No available pricing or hosting options in our data, with thin transparency around weights, licence and model details.
00

How good is it?

TranscriptionTurning speech into text3.5 of 5Open ASR WER · 26th of 74

Words it gets right

94.7%

Misses roughly one word in 19, averaged over nine English test sets.

Languages

5

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

Where it struggles
Read aloudaudiobooks, clean recording1.3%
Podcasts and videoeveryday internet audio7.3%
Accented speechspeakers from many countries10.5%
Meetingsa room, several people, far microphone9.9%

Percentage of words wrong on each set, lower better. Bars are scaled to this model's own worst case, not to the board.

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.

Also scored, on boards we give no mark for
Podcasts and video 9th of 74European-accented speech 14th of 74Accented speech 29th of 74Harder read speech 31st of 74Clean read speech 32nd of 74Recorded meetings 33rd of 74Financial calls 38th of 74

These tests check whether a model follows instructions — a precondition for all the work above, but not a measure of how well that work is done, which is why they get no rating.

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.
5.3independentsource ↗
10.5independentsource ↗
2.7independentsource ↗
9.9independentsource ↗
7.3independentsource ↗
1.3independentsource ↗
01

Where to get it

We hold no priced listing for Solaria 3.

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

02

When we formed this view

Dates behind this page

Aug 2, 2026BenchmarkScored 10.5 on Accented speechleaderboard
Aug 2, 2026BenchmarkScored 2.7 on Financial callsleaderboard
Aug 2, 2026BenchmarkScored 9.9 on Recorded meetingsleaderboard
Aug 2, 2026BenchmarkScored 2.8 on European-accented speechleaderboard
Aug 2, 2026BenchmarkScored 7.3 on Podcasts and videoleaderboard
Aug 2, 2026BenchmarkScored 1.3 on Clean read speechleaderboard
Aug 2, 2026BenchmarkScored 3 on Harder read speechleaderboard
Aug 1, 2026ListedListed on LLMapfirst indexed by our pipeline
Aug 1, 2026BenchmarkScored 5.3 on Open ASR WERleaderboard

Prices last checked 6h ago

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

Commercial API terms. We hold no licence record for this model, so there is nothing to summarise here.

Identifiers

Modality record
audio->text
Catalogue slug
gladia-solaria-3

Machine-readable model card (omc.json) →

Something wrong on this page? Tell us