Smallest AI Pulse
Smallest AI
Speech to textTranscribes a recording into words
- 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, 2026Smallest AI Pulse is a hosted-only speech-to-text model that turns audio into written words across 38 claimed languages. It excels on clean, scripted audio with very low error rates, but performance falls sharply on meetings, podcasts and accented speech.
Choose this for high-stakes transcription of clean, scripted audio where a 1.3% word error rate is acceptable, or for financial calls and European-accented speech where it also scores well. Skip it if you need to transcribe meetings, podcasts, video or heavily accented speech, where its error rate rises more than sixfold, or if you require local hosting or confirmed availability through a provider.
The case for it
- Excellent on clean, structured audio: about one word in seventy-five wrong on clean read speech, and similarly strong on financial calls.
- European-accented speech at roughly one word in twenty-six wrong — notably better than its performance on general accented speech.
- 38 languages claimed, which is broader coverage than many transcription models.
The case against it
- Performance collapses on real-world, unscripted audio: recorded meetings and podcasts see error rates six to seven times higher than clean read speech.
- Severe degradation on accented speech: more than eight times the error rate it manages on clean speech.
- No commercial access path in our data: zero offers, no pricing available, and speed claims are unverified.
How good is it?
TranscriptionTurning speech into text3.5 of 5Open ASR WER · 28th of 74
94.6%
Misses roughly one word in 18, averaged over nine English test sets.
38
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, 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.
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.
Where to get it
We hold no priced listing for Smallest AI Pulse.
There is no copy to download and no host in our price data, so Smallest AI 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 Smallest AI sells.
When we formed this view
Dates behind this page
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.
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
- smallestai-pulse